Patent Grant
11586762
Over the past years, privacy and security policies, and related operations have become increasingly important. Breaches in security, leading to the unauthorized access of personal data (which may include sensitive personal data) have become more frequent among companies and other organizations of all sizes. Such personal data may include, but is not limited to, personally identifiable information (PII), which may be information that directly (or indirectly) identifies an individual or entity. Examples of PII include names, addresses, dates of birth, social security numbers, and biometric identifiers such as a person's fingerprints or picture. Other personal data may include, for example, customers' Internet browsing habits, purchase history, and even their preferences (e.g., likes and dislikes, as provided or obtained through social media).
Many organizations that obtain, use, and transfer personal data, including sensitive personal data, have begun to address these privacy and security issues. To manage personal data, many companies have attempted to implement operational policies and processes that comply with legal and organizations, or other entities) with certain rights related to the data subject's personal data that is collected, stored, or otherwise processed by an organization. These rights may include, for example, a right to obtain confirmation of whether a particular organization is processing their personal data, a right to obtain information about the purpose of the processing (e.g., one or more reasons for which the personal data was collected), and other such rights. Some regulations require organizations to comply with requests for such information (e.g., Data Subject Access Requests) within relatively short periods of time (e.g., 30 days).
Existing systems for complying with such requests can be inadequate for producing and providing the required information within the required timelines. This is especially the case for large corporations, which may store data on several different platforms in differing locations. Accordingly, there is a need for improved systems and methods for complying with data subject access requests.
A non-transitory computer-readable medium storing computer-executable instructions for, according to particular embodiments: (1) receiving, by at least one computer processor, a data subject access request from a data subject access requestor; (2) automatically determining, by at least one computer processor, a type of the data subject access request, the determined type of data subject access request being selected from a group consisting of: (a) a request to delete personal data of the requestor that is being stored by a particular organization; (b) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (c) a request to update personal data of the requestor that is being stored by the particular organization; and (d) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; (3) determining, by at least one processor, based at least partially on the determined type of data subject access request, a workflow that is to be used to process the request; (4) after determining the workflow, facilitating, by at least one processor, the processing of the request via the workflow; (5) receiving an audit request, to audit compliance, by at least one particular group within the particular organization with one or more data subject access request requirements; (6) performing an audit according to the audit request; (7) generating a report of one or more results of the audit; and (8) providing the report to a privacy officer associated with the particular organization.
A privacy management computer system for auditing one or more responses to one or more data subject access requests received by a particular entity, according to particular embodiments: (1) one or more computer processors; and (2) computer memory operatively coupled to the one or more processors. In any embodiment described herein, the one or more processes are adapted for: (1) receiving a plurality of data subject access requests via a plurality of webforms on respective computing devices from a plurality of data subject access requestors; (2) automatically determining a type of each data subject access request; (3) determining, based at least partially on the determined type of each data subject access request, a workflow that is to be used to process each request; (4) facilitating the processing of each of the plurality of data subject access requests via the workflow; (5) receiving an audit request to audit compliance, by the particular entity with one or more data subject access request requirements, the one or more data subject access request requirements being selected from a group consisting of: (a) one or more deadlines for responding to the plurality of data subject access requests; (b) one or more reporting requirement relating to the plurality of data subject access requests; (c) one or more sufficiency requirement related to each response to the plurality of data subject access requests; (d) one or more legal or industry regulation related to the plurality of data subject access requests; and (e) one or more regulations related to an availability of one or more extensions for responding to the plurality of data subject access requests; (6) performing the audit according to the audit request; (7) generating a report of one or more results of the audit; and (8) providing the report to a privacy officer associated with the particular entity.
A privacy management computer system for auditing one or more responses to one or more data subject access requests received by a particular entity, according to particular embodiments: (1) one or more computer processors; and (2) computer memory operatively coupled to the one or more processors. In any embodiment described herein, the one or more processes are adapted for: (1) receiving a plurality of data subject access requests via a plurality of webforms on respective computing devices from a plurality of data subject access requestors; (2) automatically determining a type of each data subject access request; (3) determining, based at least partially on the determined type of each data subject access request, a workflow that is to be used to process each request; (4) facilitating the processing of each of the plurality of data subject access requests via the workflow; (5) receiving an audit request to audit compliance, by the particular entity with one or more data subject access request requirements, the audit request comprising one or more request parameters; (6) performing the audit based on the one or more request parameters; (7) generating a report of one or more results of the audit; and (8) providing the report to the particular entity.
A privacy management computer system for auditing one or more responses to one or more data subject access requests received by a particular entity, according to particular embodiments: (1) one or more computer processors; and (2) computer memory operatively coupled to the one or more processors. In any embodiment described herein, the one or more processes are adapted for: (1) receiving a plurality of data subject access requests via a plurality of webforms on respective computing devices from a plurality of data subject access requestors; (2) automatically determining a type of each data subject access request, the determined type of data subject access request being selected from a group consisting of: (a) a request to delete personal data of the requestor that is being stored by a particular organization; (b) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (c) a request to update personal data of the requestor that is being stored by the particular organization; and (d) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; (3) determining, based at least partially on the determined type of each data subject access request, a workflow that is to be used to process each request; (4) facilitating the processing of each of the plurality of data subject access requests via the workflow; (5) providing a data subject access request compliance portal; (6) receiving an audit request, via the data subject access request compliance portal, to audit compliance, by the particular entity with one or more data subject access request requirements, the audit request comprising one or more request parameters; (7) perform the audit based on the one or more request parameters; (8) generate a report of one or more results of the audit; and (9) provide the report to a privacy officer associated with the particular entity.
A privacy management computer system for receiving and facilitating the processing of data subject access requests, in particular embodiments, comprises one or more computer processors and computer memory operatively coupled to the one or more processors. In particular embodiments, the system is adapted for: (1) displaying a webform on a computer display, the webform being adapted to receive data subject access requests for processing; (2) receiving, via the webform, a data subject access request from a data subject access requestor; (3) automatically determining a type of the data subject access request, the determined type of data subject access request being selected from a group consisting of: (A) a request to delete personal data of the requestor that is being stored by a particular organization; (B) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (C) a request to update personal data of the requestor that is being stored by the particular organization; and (D) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; (4) automatically determining, based at least partially on the determined type of data subject access request, an authentication methodology that is to be used to verify the requestor's identity before the system facilitates completion of the data subject access request; (5) using the determined type of authentication methodology to verify the requestor's identity; and (6) at least partially in response to verifying the requestor's identity via the determined type of authentication methodology, executing at least one processing step to advance the completion of the data subject access request.
A privacy management computer system for receiving and facilitating the processing of data subject access requests, in various embodiments, comprises one or more computer processors and computer memory operatively coupled to the one or more processors. In particular embodiments, the system is adapted for: (1) displaying a webform on a computer display, the webform being adapted to receive data subject access requests for processing; (2) receiving, via the webform, a data subject access request from a data subject access requestor; (3) automatically determining a type of the data subject access request, the determined type of data subject access request being selected from a group consisting of: (A) a request to delete personal data of the requestor that is being stored by a particular organization; (B) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (C) a request to update personal data of the requestor that is being stored by the particular organization; and (D) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; and (4) determining, based at least partially on the determined type of data subject access request, a workflow that is to be used to process the request; and (5) facilitating the processing of the request via the workflow.
A computer-implemented method, according to particular embodiments, for receiving and facilitating the processing of data subject access requests, comprises: (1) receiving, by at least one computer processor, a data subject access request from a data subject access requestor; (2) automatically determining, by at least one computer processor, a type of the data subject access request, the determined type of data subject access request being selected from a group consisting of: (A) a request to delete personal data of the requestor that is being stored by a particular organization; (B) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (C) a request to update personal data of the requestor that is being stored by the particular organization; and (D) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; (3) determining, by at least one processor, based at least partially on the determined type of data subject access request, a workflow that is to be used to process the request; and (4) after determining the workflow, facilitating, by at least one processor, the processing of the request via the computer-implemented workflow.
In various embodiments, the system may determine one or more system workflows based, at least in part, on one or more other factors, such as: (1) the state, country and/or territory of residence of the data subject for which the DSAR is being requested (e.g., the DSAR requestor); (2) the current location of the data subject (e.g., state, country, and/or territory); (3) whether or not the data subject is an online customer of the particular organization (a customer with an online account with the particular organization) to which they are submitting the DSAR; and/or (4) an estimated time (e.g., that may be determined by the system in any suitable way) that it will take to complete the DSAR. It should be understood, in light of this disclosure, that the system may determine the one or more system workflows for processing a particular DSAR based, at least in part, on any one of the above-listed factors (and/or other suitable factors discussed herein) and/or the type of the DSAR request.
Various embodiments of a data subject access request fulfillment system are described below. In the course of this description, reference will be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:
Various embodiments now will be described more fully hereinafter with reference to the accompanying drawings. It should be understood that the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Like numbers refer to like elements throughout.
Overview
Ticket management systems, according to various embodiments, are adapted to receive data subject access requests (DSAR's) from particular data subjects, and to facilitate the timely processing of valid DSAR's by an appropriate respondent. In particular embodiments, the ticket management system receives DSAR's via one or more webforms that each may, for example, respectively be accessed via an appropriate link/button on a respective web page. In other embodiments, the system may receive DSAR's through any other suitable mechanism, such as via a computer software application (e.g., a messaging application such as Slack, Twitter), via a chat bot, via generic API input from another system, or through entry by a representative who may receive the information, for example, via suitable paper forms or over the phone.
The ticket management system may include a webform creation tool that is adapted to allow a user to create customized webforms for receiving DSAR's from various different data subject types and for routing the requests to appropriate individuals for processing. The webform creation tool may, for example, allow the user to specify the language that the form will be displayed in, what particular information is to be requested from the data subject and/or provided by the data subject, who any DSAR's that are received via the webform will be routed to, etc. In particular embodiments, after the user completes their design of the webform, the webform creation tool generates code for the webform that may be cut and then pasted into a particular web page.
The system may be further adapted to facilitate processing of DSAR's that are received via the webforms, or any other suitable mechanism. For example, the ticket management system may be adapted to execute one or more of the following steps for each particular DSAR received via the webforms (or other suitable mechanism) described above: (1) before processing the DSAR, confirm that the DSAR was actually submitted by the particular data subject of the DSAR (or, for example, by an individual authorized to make the DSAR on the data subject's behalf, such as a parent, guardian, power-of-attorney holder, etc.)—any suitable method may be used to confirm the identity of the entity/individual submitting the DSAR—for example, if the system receives the DSAR via a third-party computer system, the system may validate authentication via API secret, or by requiring a copy of one or more particular legal documents (e.g., a particular contract between two particular entities)—the system may validate the identity of an individual by, for example, requiring the individual (e.g., data subject) to provide particular account credentials, by requiring the individual to provide particular out-of-wallet information, through biometric scanning of the individual (e.g., finger or retinal scan), or via any other suitable identity verification technique; (2) if the DSAR was not submitted by the particular data subject, deny the request; (3) if the DSAR was submitted by the particular data subject, advance the processing of the DSAR; (4) route the DSAR to the correct individual(s) or groups internally for handling; (5) facilitate the assignment of the DSAR to one or more other individuals for handling of one or more portions of the DSAR; (6) facilitate the suspension of processing of the data subject's data by the organization; and/or (7) change the policy according to which the data subject's personal data is retained and/or processed by the system. In particular embodiments, the system may perform any one or more of the above steps automatically. The system then generates a receipt for the DSAR request that the user can use as a transactional record of their submitted request.
In particular embodiments, the ticket management system may be adapted to generate a graphical user interface (e.g., a DSAR request-processing dashboard) that is adapted to allow a user (e.g., a privacy officer of an organization that is receiving the DSAR) to monitor the progress of any of the DSAR requests. The GUI interface may display, for each DSAR, for example, an indication of how much time is left (e.g., quantified in days and/or hours) before a legal and/or internal deadline to fulfill the request. The system may also display, for each DSAR, a respective user-selectable indicium that, when selected, may facilitate one or more of the following: (1) verification of the request; (2) assignment of the request to another individual; (3) requesting an extension to fulfill the request; (4) rejection of the request; or (5) suspension of the request.
As noted immediately above, and elsewhere in this application, in particular embodiments, any one or more of the above steps may be executed by the system automatically. As a particular example, the system may be adapted to automatically verify the identity of the DSAR requestor and then automatically fulfill the DSAR request by, for example, obtaining the requested information via a suitable data model and communicating the information to the requestor. As another particular example, the system may be configured to automatically route the DSAR to the correct individual for handling based at least in part on one or more pieces of information provided (e.g., in the webform).
In various embodiments, the system may be adapted to prioritize the processing of DSAR's based on metadata about the data subject of the DSAR. For example, the system may be adapted for: (1) in response to receiving a DSAR, obtaining metadata regarding the data subject; (2) using the metadata to determine whether a priority of the DSAR should be adjusted based on the obtained metadata; and (3) in response to determining that the priority of the DSAR should be adjusted based on the obtained metadata, adjusting the priority of the DSAR.
Examples of metadata that may be used to determine whether to adjust the priority of a particular DSAR include: (1) the type of request; (2) the location from which the request is being made; (3) the country of residency of the data subject and, for example, that county's tolerance for enforcing DSAR violations; (4) current sensitivities to world events; (5) a status of the requestor (e.g., especially loyal customer); or (6) any other suitable metadata.
In various embodiments, the system is adapted for, in the course of processing a particular data subject access request, automatically determining a type of the data subject access request, the determined type of data subject access request being selected from a group consisting of: (1) a request to delete personal data of the requestor that is being stored by a particular organization; (2) a request to provide, to the requestor, personal data of the requestor that is being stored by the particular organization; (3) a request to update personal data of the requestor that is being stored by the particular organization; (4) a request to opt out of having the particular organization use the requestor's personal information in one or more particular ways; and (5) any other suitable type of request. After making this determination, the system may determine, based at least partially on the determined type of data subject access request, a particular workflow to follow in processing the data subject access request. For example, in various embodiments, the system may determine, based on the determined type of data subject access request, an authentication methodology that is to be used to verify the requestor's identity before the system facilitates completion of the data subject access request. The system may then use the determined type of authentication methodology to verify the requestor's identity, and at least partially in response to verifying the requestor's identity via the determined type of authentication methodology, execute at least one processing step to advance the completion of the data subject access request.
In particular embodiments, in response to not being able to automatically verify the requestor's identity via the determined type of authentication methodology (e.g., in response to receiving more than a predetermined threshold number of incorrect pieces of authenticating information from the requestor), the system may: (1) automatically generate and display a message to the requestor indicating that the requestor's identity has not been verified using the provided information and/or that the data subject access request can not be completed; (2) attempting to automatically authenticate the requestor's identity via a second, different methodology; and/or (3) generate an electronic indication to a particular individual that the requestor's identity needs to be authenticated via a different (e.g., automatic or manual) methodology.
As other examples, the system may determine, based, at least in part, on the determined type of data subject access request: (1) whether to automatically process the data subject access request; (2) whether to facilitate at least a partial manual processing of the data subject access request; (3) how quickly the request should be processed (e.g., by elevating a priority of the request and/or by setting a shorter time period for completing the request; and/or (4) who should be responsible for handling or supervising the request.
In various embodiments, the system may determine whether to execute any one or more of the system workflows described herein, or any other suitable workflow(s), in processing a particular DSAR request, based, at least in part, on one or more factors such as: (1) the state, country and/or territory of residence of the data subject for which the particular DSAR is being requested (e.g., the DSAR requestor); (2) the current location of the data subject (e.g., state, country, and/or territory); (3) whether or not the data subject is an online customer of the particular organization (a customer with an online account with the particular organization) to which they are submitting the DSAR; and/or (4) an estimated time (e.g., that may be determined by the system in any suitable way) that it will take to complete the DSAR. It should be understood, in light of this disclosure, that the system may determine the one or more system workflows for processing a particular DSAR based, at least in part, on any one of the above-listed factors and/or the type of the DSAR request.
Exemplary Technical Platforms
As will be appreciated by one skilled in the relevant field, the present invention may be, for example, embodied as a computer system, a method, or a computer program product. Accordingly, various embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, particular embodiments may take the form of a computer program product stored on a computer-readable storage medium having computer-readable instructions (e.g., software) embodied in the storage medium. Various embodiments may take the form of web-implemented computer software. Any suitable computer-readable storage medium may be utilized including, for example, hard disks, compact disks, DVDs, optical storage devices, and/or magnetic storage devices.
Various embodiments are described below with reference to block diagrams and flowchart illustrations of methods, apparatuses (e.g., systems), and computer program products. It should be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by a computer executing computer program instructions. These computer program instructions may be loaded onto a general-purpose computer, special-purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus to create means for implementing the functions specified in the flowchart block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner such that the instructions stored in the computer-readable memory produce an article of manufacture that is configured for implementing the function specified in the flowchart block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of mechanisms for performing the specified functions, combinations of steps for performing the specified functions, and program instructions for performing the specified functions. It should also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions or steps, or combinations of special purpose hardware and other hardware executing appropriate computer instructions.
Example System Architecture
As may be understood from
The one or more computer networks 115 may include any of a variety of types of wired or wireless computer networks such as the Internet, a private intranet, a public switch telephone network (PSTN), or any other type of network. The communication link between the DSAR Processing and Fulfillment Server 170 and the One or More Remote Computing Devices 150 may be, for example, implemented via a Local Area Network (LAN) or via the Internet. In other embodiments, the One or More Databases 140 may be stored either fully or partially on any suitable server or combination of servers described herein.
In particular embodiments, the computer 200 may be connected (e.g., networked) to other computers in a LAN, an intranet, an extranet, and/or the Internet. As noted above, the computer 200 may operate in the capacity of a server or a client computer in a client-server network environment, or as a peer computer in a peer-to-peer (or distributed) network environment. The Computer 200 may be a personal computer (PC), a tablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), a cellular telephone, a web appliance, a server, a network router, a switch or bridge, or any other computer capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that computer. Further, while only a single computer is illustrated, the term “computer” shall also be taken to include any collection of computers that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.
An exemplary computer 200 includes a processing device 202, a main memory 204 (e.g., read-only memory (ROM), flash memory, dynamic random access memory (DRAM) such as synchronous DRAM (SDRAM) or Rambus DRAM (RDRAM), etc.), static memory 206 (e.g., flash memory, static random access memory (SRAM), etc.), and a data storage device 218, which communicate with each other via a bus 232.
The processing device 202 represents one or more general-purpose processing devices such as a microprocessor, a central processing unit, or the like. More particularly, the processing device 202 may be a complex instruction set computing (CISC) microprocessor, reduced instruction set computing (RISC) microprocessor, very long instruction word (VLIW) microprocessor, or processor implementing other instruction sets, or processors implementing a combination of instruction sets. The processing device 202 may also be one or more special-purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), network processor, or the like. The processing device 202 may be configured to execute processing logic 226 for performing various operations and steps discussed herein.
The computer 120 may further include a network interface device 208. The computer 200 also may include a video display unit 210 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)), an alphanumeric input device 212 (e.g., a keyboard), a cursor control device 214 (e.g., a mouse), and a signal generation device 216 (e.g., a speaker).
The data storage device 218 may include a non-transitory computer-accessible storage medium 230 (also known as a non-transitory computer-readable storage medium or a non-transitory computer-readable medium) on which is stored one or more sets of instructions (e.g., software instructions 222) embodying any one or more of the methodologies or functions described herein. The software instructions 222 may also reside, completely or at least partially, within main memory 204 and/or within processing device 202 during execution thereof by computer 200 - main memory 204 and processing device 202 also constituting computer-accessible storage media. The software instructions 222 may further be transmitted or received over a network 115 via network interface device 208.
While the computer-accessible storage medium 230 is shown in an exemplary embodiment to be a single medium, the term “computer-accessible storage medium” should be understood to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The terms “computer-accessible storage medium”, “computer-readable medium”, and like terms should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the computer and that cause the computer to perform any one or more of the methodologies of the present invention. These terms should accordingly be understood to include, but not be limited to, solid-state memories, optical and magnetic media, etc.
Systems for Managing Data Subject Access Requests
In various embodiments, the system may include a ticket management system and/or other systems for managing data subject access requests. In operation, the system may use one or more computer processors, which are operatively coupled to memory, to execute one or more software modules (which may be included in the Instructions 222 referenced above) such as a DSAR Request Processing Module 1000. An overview of the functionality and operation of this module is provided below.
Data Subject Access Request Processing Module 1000
As shown in
For example, in various embodiments, the system may determine, based on the determined type of data subject access request, an authentication methodology that is to be used to verify the requestor's identity before the system facilitates completion of the data subject access request. The system may use the determined type of authentication methodology to verify the requestor' s identity, and at least partially in response to verifying the requestor's identity via the determined type of authentication methodology, execute at least one processing step to advance the completion of the data subject access request.
In particular embodiments, in response to not being able to automatically verify the requestor's identity via the determined type of authentication methodology (e.g., in response to receiving more than a predetermined number of incorrect pieces of identifying information from the requestor), the system may: (1) automatically generate and display a message to the requestor indicating that the requestor's identity has not been verified using the provided identifying information and/or that the data subject access request can not be completed; (2) attempt to authenticate the requestor's identity via a second methodology; and/or (3) generate and communicate an electronic indication to a particular individual that the requestor's identity needs to be authenticated via a different (e.g., automatic or manual) methodology.
As other examples, the system may determine, based on the determined type of data subject access request: (1) whether to automatically process the data subject access request; (2) whether to facilitate at least a partial manual processing of the data subject access request; (3) how quickly the request should be processed (e.g., by elevating a priority of the request and/or by setting a shorter time period for completing the request); and/or (4) who should be responsible for handling and/or supervising the request.
In various embodiments, the system may determine whether to execute any one or more of the system workflows described herein, or any other suitable workflow(s), in processing a particular DSAR request based, at least in part, on one or more factors, such as: (1) the state, country and/or territory of residence of the data subject for which the particular DSAR is being requested (e.g., the DSAR requestor); (2) the current location of the data subject (e.g., state, country, and/or territory); (3) whether or not the data subject is an online customer of the particular organization (a customer with an online account with the particular organization) to which they are submitting the DSAR; and/or (4) an estimated time (e.g., that may be determined by the system in any suitable way) that it will take to complete the DSAR. It should be understood, in light of this disclosure, that the system may determine the one or more system workflows for processing a particular DSAR based, at least in part, on any one of the above-listed factors and/or the type of the DSAR request.
Below are some selected examples of workflow-determination logic that the system may implement when determining which one or more particular workflows to implement in processing a particular DSAR request from a particular data subject who is making the DSAR to a particular entity.
(1) if the DSAR is a request to delete personal information of the data subject that is being stored by the particular entity, require the data subject to verify their identity with a first number of pieces of identifying information (e.g., four) before the system fulfils the DSAR; if the DSAR is a request to obtain a copy of their personal information that is being stored by the particular entity, require the data subject to verify their identity with a second number of pieces of identifying information (e.g., two) before the system fulfils the DSAR. In particular embodiments, the first number is larger than the second number, but in alternative embodiments the first number may be smaller than or equal to the second number;
(2) if the DSAR is a request to update personal information of the data subject that is being stored by the particular entity, require the data subject to verify their identity with a first number of pieces of identifying information (e.g., four) before the system fulfils the DSAR; if the DSAR is a request to obtain a copy of their personal information that is being stored by the particular entity, require the data subject to verify their identity with a second number of pieces of identifying information (e.g., two) before the system fulfils the DSAR. In particular embodiments, the first number is larger than the second number, but in alternative embodiments the first number may be smaller than, or equal to, the second number;
(3) if the DSAR is a request to delete personal information of the data subject that is being stored by the particular entity, require the data subject to verify their identity with a first number of pieces of identifying information (e.g., four) before the system fulfils the DSAR; if the DSAR is a request to opt out of one or more data processing procedures, require the data subject to verify their identity with a second number of pieces of identifying information (e.g., three) before the system fulfils the DSAR. In particular embodiments, the first number is larger than the second number, but in alternative embodiments the first number may be smaller than, or equal to, the second number;
(4) if the data subject is resident of a first territory (e.g., a particular European country), require the data subject to verify their identity with a different number of pieces of identifying information (e.g., more pieces of identifying information) than if the data subject is a resident of a second territory (e.g., the United States); and
(5) if the system estimates (e.g., automatically estimates) that the DSAR will be completed after an initial deadline for completing the DSAR, automatically initiate a request (e.g., by the system) to extend the deadline for completing the DSAR—in various embodiments, the system may automatically estimate the time of completion of the DSAR request (e.g., by automatically estimating a time of completing each of a plurality of individual steps associated with completing the DSAR request) and, if necessary, initiate a request to extend the deadline for completing the DSAR at least partially in response to (e.g., in response to) receiving the DSAR.
It should be understood that the above are examples and that other variations of determining workflows based upon, for example, any combination of the above-listed factors may be implemented by various embodiments of the system.
Operation of Example Implementation
In other embodiments, the system is configured to enable a user to specify, when configuring a new webform, what individual at a particular organization (e.g., company) will be responsible for responding to requests made via the webform. The system may, for example, enable the user to define a specific default sub-organization (e.g., within the organization) responsible for responding to DSAR's submitted via the new webform. As such, the system may be configured to automatically route a new DSAR made via the new webform to the appropriate sub-organization for processing and fulfillment. In various embodiments, the system is configured to route one or more various portions of the DSAR to one or more different sub-organizations within the organization for handling.
In particular embodiments, the system may include any suitable logic for determining how the webform routes data subject access requests. For example, the system may be adapted to determine which organization or individual to route a particular data subject access request to based, at least in part, on one or more factors selected from a group consisting of: (1) the data subject's current location; (2) the data subject's country of residence; (3) the type of request being made; (4) the type of systems that contain (e.g., store and/or process) the user's personal data (e.g., in ADP, Salesforce, etc.); or any other suitable factor. (The system may use any of this information in determining one or more subsequent workflows according to which the system will process the DSAR, according to the techniques discussed elsewhere herein.)
In particular embodiments, the system is configured to enable a user generating webforms to assign multiple webforms to multiple different respective suborganizations within an organization. For example, an organization called ACME, Inc. may have a website for each of a plurality of different brands (e.g., sub-organizations) under which ACME sells products (e.g., UNICORN Brand T-shirts, GRIPP Brand Jeans, etc.). As may be understood in light of this disclosure, each website for each of the particular brands may include an associated webform for submitting DSAR's (either a webform directly on the web site, or one that is accessible via a link on the website). Each respective webform may be configured to route a DSAR made via its associated brand website to a particular sub-organization and/or individuals within ACME for handling DSAR's related to the brand.
As noted above, after the user uses the webform construction tool to design a particular webform for use on a particular web page, the webform construction tool generates code (e.g., HTML code) that may be pasted into the particular web page to run the designed webform page. In particular embodiment, when pasted into the particular web page, the code generates a selectable button on the web page that, when selected, causes the system to display a suitable DSAR request webform.
As shown in
In various embodiments, the system includes a dashboard that may be used by various individuals within an organization (e.g., one or more privacy officers of an organization) to manage multiple DSAR requests. As discussed above, the dashboard may display DSAR's submitted, respectively, to a single organization, any of multiple different sub-organizations (divisions, departments, subsidiaries etc.) of a particular organization, and/or any of multiple independent organizations. For example, the dashboard may display a listing of DSAR's that were submitted from a parent organization and from the parent organization's U.S. and European subsidiaries. This may be advantageous, for example, because it may allow an organization to manage all DSAR requests of all of its sub-organizations (and/or other related organizations) centrally.
As shown in
In particular embodiments, the input field may enable the respondent to provide one or more supporting reasons for a decision, by the respondent, to authenticate the request. The respondent may also upload one or more supporting documents (such as an attachment). The supporting documents or information may include, for example, one or more documents utilized in confirming the requestor's identity, etc.
In response to the respondent selecting the Submit button, the system changes the status of the request to “In Progress” and also changes the color of the request's status from orange to blue (or from any other suitable color to any different suitable color)—see
As shown in
As shown in
As shown in
In particular embodiments, the system may include logic for automatically determining whether a requested extension complies with one or more applicable laws or internal policies and, in response, either automatically grant or reject the requested extension. For example, if the maximum allowable time for replying to a particular request is 90 days under the controlling laws and the respondent requests an extension that would result in the fulfillment of the request 91 or more days from the date that the request was submitted, the system may automatically reject the extension request. In various embodiments, the system may also communicate, to the respondent (e.g., via a suitable electronic message or text display on a system user interface) an explanation as to why the extension request was denied, and/or a maximum amount of time (e.g., a maximum number of days) that the deadline may be extended under the applicable laws or policies. In various embodiments, if the system determines that the requested extension is permissible under the applicable laws and/or policies, the system may automatically grant the extension.
In other embodiments, the system may be configured to automatically modify a length of the requested extension to conform with one or more applicable laws and/or policies. For example, if the request was for a 90-day extension, but only a 60 day extension is available under the applicable laws or regulations, the system may automatically grant a 60-day extension rather than a 90 day extension. The system may be adapted to also automatically generate and transmit a suitable message (e.g., a suitable electronic or paper communication) notifying them of the fact that the extension was granted for a shorter, specified period of time than requested.
As shown in
As shown in
As shown in
Additional Concepts
Intelligent Prioritization of DSAR's
In various embodiments, the system may be adapted to prioritize the processing of DSAR's based on metadata about the data subject of the DSAR. For example, the system may be adapted for: (1) in response to receiving a DSAR, obtaining metadata regarding the data subject; (2) using the metadata to determine whether a priority of the DSAR should be adjusted based on the obtained metadata; and (3) in response to determining that the priority of the DSAR should be adjusted based on the obtained metadata, adjusting the priority of the DSAR.
Examples of metadata that may be used to determine whether to adjust the priority of a particular DSAR include: (1) the type of request, (2) the location from which the request is being made, (3) current sensitivities to world events, (4) a status of the requestor (e.g., especially loyal customer), or (5) any other suitable metadata.
In various embodiments, in response to the system determining that the priority of a particular DSAR should be elevated, the system may automatically adjust the deadline for responding to the DSAR. For example, the system may update the deadline in the system's memory and/or modify the “Days Left to Respond” field (See
In various embodiments, in response to the system determining that the priority of a particular DSAR should be lowered, the system may automatically adjust the deadline for responding to the DSAR by adding to the number of days left to respond to the request.
Automatic Deletion of Data Subject Records Based on Detected Systems
In particular embodiments, in response a data subject submitting a request to delete their personal data from an organization's systems, the system may: (1) automatically determine where the data subject's personal data is stored; and (2) in response to determining the location of the data (which may be on multiple computing systems), automatically facilitate the deletion of the data subject's personal data from the various systems (e.g., by automatically assigning a plurality of tasks to delete data across multiple business systems to effectively delete the data subject's personal data from the systems). In particular embodiments, the step of facilitating the deletion may comprise, for example: (1) overwriting the data in memory; (2) marking the data for overwrite; (2) marking the data as free (e.g., and deleting a directory entry associated with the data); and/or (3) any other suitable technique for deleting the personal data. In particular embodiments, as part of this process, the system uses an appropriate data model (see discussion above) to efficiently determine where all of the data subject's personal data is stored.
Automatic Determination of Business Processes that Increase Chance of Deletion Requests
In various embodiments, the system is adapted to store, in memory, a log of DSAR actions.
The system may also store, in memory, additional information regarding the data subjects of each of the requests. The system may use this information, for example, to determine which business processes are most commonly associated with a data subject submitting a request to have their personal information deleted from the organization's systems. The organization may then use this information to revise the identified business processes in an effort to reduce the number of deletion requests issued by data subjects associated with the business processes.
As a particular example, the system may analyze stored information to determine that a high number (e.g., 15%) of all participants in a company's loyalty program submit requests to have their personal information deleted from the company's systems. In response to making this determination, the system may issue an electronic alert to an appropriate individual (e.g., a privacy officer of the company), informing them of the high rate of members of the company's loyalty program issuing personal data delete requests. This alert may prompt the individual to research the issue and try to resolve it.
Automated Data Subject Verification
In various embodiments, before a data subject request can be processed, the data subject's identity may need to be verified. In various embodiments, the system provides a mechanism to automatically detect the type of authentication required for a particular data subject based on the type of Data Subject Access Request being made and automatically issues a request to the data subject to verify their identity against that form of identification. For example, a subject rights request might only require two types of authentication, but a deletion request may require four types of data to verify authentication. The system may automatically detect which is type of authentication is required based on the DSAR and send an appropriate request to the data subject to verify their identity.
Stated more particularly, when processing a data subject access request, the system may be configured to verify an identity of the data subject prior to processing the request (e.g., or as part of the processing step). In various embodiments, confirming the identity of the data subject may, for example, limit a risk that a third-party or other entity may gain unlawful or unconsented to access to the requestor's personal data. The system may, for example, limit processing and fulfillment of requests relating to a particular data subject to requests that are originated by (e.g., received from) the particular data subject. When processing a data subject access request, the system may be configured to use various reasonable measures to verify the identity of the data subject who requests access (e.g., in particular in the context of online services and online identifiers). In particular embodiments, the system is configured to substantially automatically validate an identity of a data subject when processing the data subject access request.
For example, in particular embodiments, the system may be configured to substantially automatically (e.g., automatically) authenticate and/or validate an identity of a data subject using any suitable technique. These techniques may include, for example: (1) one or more credit-based and/or public- or private- information-based verification techniques; (2) one or more company verification techniques (e.g., in the case of a business-to-business data subject access request); (3) one or more techniques involving integration with a company's employee authentication system; (4) one or more techniques involving a company's (e.g., organization's) consumer portal authentication process; (5) etc. Various exemplary techniques for authenticating a data subject are discussed more fully below.
In particular embodiments, when authenticating a data subject (e.g., validating the data subject's identity), the system may be configured to execute particular identity confirmation steps, for example, by interfacing with one or more external systems (e.g., one or more third-party data aggregation systems). For example, the system, when validating a data subject's identity, may begin by verifying that a person with the data subject's name, address, social security number, or other identifying characteristic (e.g., which may have been provided by the data subject as part of the data subject access request) actually exists. In various embodiments, the system is configured to interface with (e.g., transmit a search request to) one or more credit reporting agencies (e.g., Experian, Equifax, TransUnion, etc.) to confirm that a person with one or more characteristics provided by the data subject exists. The system may, for example, interface with such credit reporting agencies via a suitable plugin (e.g., software plugin). Additionally, there might be a verification on behalf of a trusted third-party system (e.g., the controller).
In still other embodiments, the system may be configured to utilize one or more other third-party systems (e.g., such as LexisNexis, IDology, RSA, etc.), which may, for example, compile utility and phone bill data, property deeds, rental agreement data, and other public records for various individuals. The system may be configured to interface with one or more such third-party systems to confirm that a person with one or more characteristics provided by the data subject exists.
After the step of confirming the existence of a person with the one or more characteristics provided by the data subject, the system may be configured to confirm that the person making the data subject access request is, in fact, the data subject. The system may, for example, verify that the requestor is the data subject by prompting the requestor to answer one or more knowledge-based authentication questions (e.g., out-of-wallet questions). In particular embodiments, the system is configured to utilize one or more third-party services as a source of such questions (e.g., any of the suitable third-party sources discussed immediately above). The system may use third-party data from the one or more third-party sources to generate one or more questions. These one or more questions may include questions that a data subject should know an answer to without knowing the question ahead of time (e.g., one or more previous addresses, a parent or spouse name and/or maiden name, etc.).
In still other embodiments, the system may be configured to prompt a requestor to provide one or more additional pieces of information in order to validate the requestor's identity. This information may include, for example: (1) at least a portion of the requestor's social security number (e.g., last four digits); (2) a name and/or place of birth of the requestor's father; (3) a name, maiden name, and/or place of birth of the requestor's mother; and/or (4) any other information which may be useful for confirming the requestor's identity (e.g., such as information available on the requestor's birth certificate). In other embodiments, the system may be configured to prompt the requestor to provide authorization for the company to check the requestor's social security or other private records (e.g., credit check authorization, etc.) to obtain information that the system may use to confirm the requestor's identity. In other embodiments, the system may prompt the user to provide one or more images (e.g., using a suitable mobile computing device) of an identifying document (e.g., a birth certificate, social security card, driver's license, etc.).
The system may, in response to a user providing one or more responses that matches information that the system receives from one or more third-party data aggregators or through any other suitable background, credit, or other search, substantially automatically authenticate the requestor as the data subject. The system may then continue processing the data subject's request, and ultimately fulfill their request.
In particular embodiments, such as embodiments in which the requestor includes a business (e.g., as in a business to business data subject access request), the system may be configured to authenticate the requesting business using one or more company verification techniques. These one or more company validation techniques may include, for example, validating a vendor contract (e.g., between the requesting business and the company receiving the data subject access request); receiving a matching token, code, or other unique identifier provided by the company receiving the data subject access request to the requesting business; receiving a matching file in possession of both the requesting business and the company receiving the data subject access request; receiving a signed contract, certificate (e.g., digital or physical), or other document memorializing an association between the requesting business and the company receiving the data subject access request; and/or any other suitable method of validating that a particular request is actually made on behalf of the requesting business (e.g., by requesting the requesting business to provide one or more pieces of information, one or more files, one or more documents, etc. that may only be accessible to the requesting business).
In other embodiments, the system may be configured to authenticate a request via integration with a company's employee or customer (e.g., consumer) authentication process. For example, in response to receiving a data subject access request that indicates that the data subject is an employee of the company receiving the data subject access request, the system may be configured to prompt the employee to login to the company's employee authentication system (e.g., Okta, Azure, AD, etc.) In this way, the system may be configured to authenticate the requestor based at least in part on the requestor successfully logging into the authentication system using the data subject's credentials. Similarly, in response to receiving a data subject access request that indicates that the data subject is a customer of the company receiving the data subject access request, the system may be configured to prompt the customer to login to an account associated with the company (e.g., via a consumer portal authentication process). In a particular example, this may include, for example, an Apple ID (for data subject access requests received by Apple). In this way, the system may be configured to authenticate the requestor based at least in part on the requestor successfully logging into the authentication system using the data subject's credentials. In some embodiments, the system may be configured to require the requestor to login using two-factor authentication or other suitable existing employee or consumer authentication process.
Data Subject Blacklist
In various embodiments, a particular organization may not be required to respond to a data subject access request that originates (e.g., is received from) a malicious requestor. A malicious requestor may include, for example: (1) a requestor (e.g., an individual) that submits excessive or redundant data subject access requests; (2) a group of requestors such as researchers, professors, students, NGOs, etc. that submit a plurality of requests for reasons other than those reasons provided by policy, law, etc.; (3) a competitor of the company receiving the data subject access request that is submitting such requests to tie up the company's resources unnecessarily; (4) a terrorist or other organization that may spam requests to disrupt the company's operation and response to valid requests; and/or (5) any other request that may fall outside the scope of valid requests made for reasons proscribed by public policy, company policy, or law. In particular embodiments, the system is configured to maintain a blacklist of such malicious requestors.
In particular embodiments, the system is configured to track a source of each data subject access request and analyze each source to identify sources from which: (1) the company receives a large volume of requests; (2) the company receives a large number of repeat requests; (3) etc. These sources may include, for example: (1) one or more particular IP addresses; (2) one or more particular domains; (3) one or more particular countries; (4) one or more particular institutions; (5) one or more particular geographic regions; (6) etc. In various embodiments, in response to analyzing the sources of the requests, the system may identify one or more sources that may be malicious (e.g., are submitting excessive requests).
In various embodiments, the system is configured to maintain a database of the identified one or more sources (e.g., in computer memory). In particular embodiments, the database may store a listing of identities, data sources, etc. that have been blacklisted (e.g., by the system). In particular embodiments, the system is configured to, in response to receiving a new data subject access request, cross reference the request with the blacklist to determine if the requestor is on the blacklist or is making the request from a blacklisted source. The system may then, in response to determining that the requestor or source is blacklisted, substantially automatically reject the request. In particular embodiments, the blacklist cross-referencing step may be part of the requestor authentication (e.g., verification) discussed above. In various embodiments, the system may be configured to analyze request data on a company by company basis to generate a blacklist. In other embodiments, the system may analyze global data (e.g., all data collected for a plurality of companies that utilize the data subject access request fulfillment system) to generate the blacklist.
In particular embodiments, the system may be configured to fulfill data subject access requests for the purpose of providing a data subject with information regarding what data the company collects and for what purpose, for example, so the data subject can ensure that the company is collecting data for lawful reasons. As such, the system may be configured to identify requestors and other sources of data requests that are made for other reasons (e.g., one or more reasons that would not obligate the company to respond to the request). These reasons may include, for example, malicious or other reasons such as: (1) research by an academic institution by one or more students or professors; (2) anticompetitive requests by one or more competitors; (3) requests by disgruntled former employees for nefarious reasons; (4) etc.
In particular embodiments, the system may, for example, maintain a database (e.g., in computer memory) of former employees. In other embodiments, the system may, for example: (1) identify a plurality of IP addresses associated with a particular entity (e.g., academic organization, competitor, etc.); and (2) substantially automatically reject a data subject access request that originates from the plurality of IP addresses. In such embodiments, the system may be configured to automatically add such identified IP addresses and/or domains to the blacklist.
In still other embodiments, the system is configured to maintain a listing of blacklisted names of particular individuals. These may include, for example, one or more individuals identified (e.g., by an organization or other entity) as submitting malicious data subject access requests).
Data Subject Access Request Fulfillment Cost Determination
In various embodiments, as may be understood in light of this disclosure, fulfilling a data subject access request may be particularly costly. In some embodiments, a company may store data regarding a particular data subject in multiple different locations for a plurality of different reasons as part of a plurality of different processing and other business activities. For example, a particular data subject may be both a customer and an employee of a particular company or organization. Accordingly, in some embodiments, fulfilling a data subject access request for a particular data subject may involve a plurality of different information technology (IT) professionals in a plurality of different departments of a particular company or organization. As such, it may be useful to determine a cost of a particular data subject access request (e.g., particularly because, in some cases, a data subject is entitled to a response to their data subject access request as a matter of right at no charge).
In particular embodiments, in response to receiving a data subject access request, the system may be configured to: (1) assign the request to at least one privacy team member; (2) identify one or more IT teams required to fulfill the request (e.g., one or more IT teams associated with one or more business units that may store personal data related to the request); (3) delegate one or more subtasks of the request to each of the one or more IT teams; (4) receive one or more time logs from each individual involved in the processing and fulfillment of the data subject access request; (5) calculate an effective rate of each individual's time (e.g., based at least in part on the individual's salary, bonus, benefits, chair cost, etc.); (6) calculate an effective cost of fulfilling the data subject access request based at least in part on the one or more time logs and effective rate of each of the individual's time; and (7) apply an adjustment to the calculated effective cost that accounts for one or more external factors (e.g., overhead, etc.) in order to calculate a cost of fulfilling the data subject access request.
In particular embodiments, the system is configured to substantially automatically track an amount of time spent by each individual involved in the processing and fulfillment of the data subject access request. The system may, for example, automatically track an amount of time between each individual opening and closing a ticket assigned to them as part of their role in processing or fulfilling the data subject access request. In other embodiments, the system may determine the time spent based on an amount of time provided by each respective individual (e.g., the individual may track their own time and submit it to the system).
In various embodiments, the system is configured to measure a cost of each particular data subject access request received, and analyze one or more trends in costs of, for example: (1) data subject access requests over time; (2) related data subject access requests; (3) etc. For example, the system may be configured to track and analyze cost and time-to-process trends for one or more social groups, one or more political groups, one or more class action groups, etc. In particular, the system may be configured to identify a particular group from which the system receives particularly costly data subject access request (e.g., former and/or current employees, members of a particular social group, members of a particular political group, etc.).
In particular embodiments, the system may be configured to utilize data subject access request cost data when processing, assigning, and/or fulfilling future data subject access requests (e.g., from a particular identified group, individual, etc.). For example, the system may be configured to prioritize requests that are expected to be less costly and time-consuming (e.g., based on past cost data) over requests identified as being likely more expensive. Alternatively, the system may prioritize more costly and time-consuming requests over less costly ones in the interest of ensuring that the system is able to respond to each request in a reasonable amount of time (e.g., within a time required by law, such as a thirty day period, or any other suitable time period).
Customer Satisfaction Integration with Data Subject Access Requests
In various embodiments, the system may be configured to collect customer satisfaction data, for example: (1) as part of a data subject access request submission form; (2) when providing one or more results of a data subject access request to the data subject; or (3) at any other suitable time. In various embodiments, the customer satisfaction data may be collected in the form of a suitable survey, free-form response questionnaire, or other suitable satisfaction data collection format (e.g., thumbs up vs. thumbs down, etc.).
In particular embodiments, the question depicted in
In various embodiments, the system may be configured to measure data related to any other suitable customer satisfaction method (e.g., in addition to NPS). By integrating a customer satisfaction survey with the data subject access request process, the system may increase a number of consumers that provide one or more responses to the customer satisfaction survey. In particular embodiments, the system is configured to require the requestor to respond to the customer satisfaction survey prior to submitting the data subject access request.
Data Subject Access Request Compliance Portal
In particular embodiments, the system is configured to provide a data subject access request compliance portal. In various embodiments, the data subject access request compliance portal is configured to enable a data protection officer (e.g., controller or other individual tasked with ensuring compliance, by an entity, with one or more legal or industry standards related to the collection and/or processing of personal data) to submit a request to audit an organization's (e.g., entity's) compliance to data subject requests.
The system may, for example, be configured to: (1) enable the data protection officer to submit an audit request; (2) perform an audit based on one or more parameters provided as part of the request (e.g., one or more parameters such as how long an average request takes to fulfill, one or more parameters related to logging and/or tracking data subject access requests and/or complaints from one or more particular customer advocacy groups, individuals, NGOs, etc.); and (3) provide one or more audit results to the officer (e.g., by displaying the results on a suitable display screen). The system may, for example: (1) identify one or more particular individuals that have submitted data subject access requests as members of a particular group; and (2) process an audit request related to the particular group by providing a listing of the one or more particular individuals. Similarly, the system may determine a number of requests that were not fulfilled within a timely manner (e.g., by a particular deadline), required an extension of time to fulfill, etc.
In particular embodiments, the system is configured to automatically generate a report that includes one or more results of a compliance audit using information maintained as part of the ticketing system described herein. For example, the system may be configured to substantially automatically analyze one or more data subject requests that the system has received (e.g., and that are pending, completed, rejected, or have any other suitable status) to determine whether the system (e.g., the organization) is complying with one or more regulations related to responding to data subject access requests. This may, for example, include: (1) automatically determining whether the system has processed data subject access requests in a timely manner (e.g., prior to a deadline); (2) automatically determining whether the system has accurately fulfilled data subject access requests (e.g., by providing the data, deleting the data, or taking any other requested action); etc.
In still other embodiments, the system is configured to log and track one or more audit requests or complaints received from one or more third party entities (e.g., one or more customer advocacy groups). The system may, for example, be configured to audit third party audit requests (e.g., in a manner similar to that described above) to ensure that audit requests are disposed of (e.g., responded to, fulfilled, etc.) in a timely or accurate manner.
In various embodiments, the system may include a DSAR auditing system system and/or other systems for managing and auditing compliance with regulations related to data subject access requests. In operation, the system may use one or more computer processors, which are operatively coupled to memory, to execute one or more software modules (which may be included in the Instructions 222 referenced above) such as a DSAR Compliance Module 5000. An overview of the functionality and operation of this module is provided below.
Data Subject Access Request Compliance Module 5000
Data Subject Access Request Compliance Module 5000. As may be understood from
Continuing to Step 5020, the system is configured to receive a request, via the DSAR compliance portal, to audit a particular entity's compliance with one or more data subject access request requirements. In particular embodiments, the one or more data subject access request requirements may, for example, relate to: (1) one or more deadlines for responding to DSARs; (2) one or more reporting requirements relating to DSARs; (3) one or more sufficiency requirements related to the response to one or more DSARs; (4) one or more legal or industry regulations related to DSARs (e.g., such as any suitable legal or industry regulation recited herein; (5) one or more regulations related to an availability of one or more extensions for responding to DSARs; and/or (6) any other suitable requirement.
In particular embodiments, the audit request received at Step 5020 may include one or more request parameters. The one or more parameters may include, for example: (1) a request to audit a particular group of individuals; (2) a request to audit a particular entity, organization, sub-group within an organization, etc. for compliance with one or more regulations related to the processing and response to one or more data subject access requests; (3) etc.
Continuing to Step 5030, the system is configured to perform the audit based on one or more parameters provided as part of the request (e.g., a type of audit request). The system may, for example: (1) identify one or more particular individuals that have submitted data subject access requests as members of a particular group; and (2) process an audit request related to the particular group by providing a listing of the one or more particular individuals. Similarly, the system may determine a number of requests that were not fulfilled within a timely manner (e.g., by a particular deadline), required an extension of time to fulfill, etc.
Returning to Step 5040, the system is configured to provide one or ore audit results to a privacy officer or other individual. In particular embodiments, the system is configured to automatically generate a report that includes one or more results of a compliance audit using information maintained as part of the ticketing system described herein. For example, the system may be configured to substantially automatically analyze one or more data subject requests that the system has received (e.g., and that are pending, completed, rejected, or have any other suitable status) to determine whether the system (e.g., the organization) is complying with one or more regulations related to responding to data subject access requests. This may, for example, include: (1) automatically determining whether the system has processed data subject access requests in a timely manner (e.g., prior to a deadline); (2) automatically determining whether the system has accurately fulfilled data subject access requests (e.g., by providing the data, deleting the data, or taking any other requested action); etc.
In still other embodiments, the system is configured to log and track one or more audit requests or complaints received from one or more third party entities (e.g., one or more customer advocacy groups). The system may, for example, be configured to audit third party audit requests (e.g., in a manner similar to that described above) to ensure that audit requests are disposed of (e.g., responded to, fulfilled, etc.) in a timely or accurate manner.
Conclusion
Although embodiments above are described in reference to various data subject access fulfillment systems, it should be understood that various aspects of the system described above may be applicable to other privacy-related systems, or to other types of systems, in general.
While this specification contains many specific embodiment details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features that may be specific to particular embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment may also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination may in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of various system components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems may generally be integrated together in a single software product or packaged into multiple software products. In addition, it should be understood that terms such as “in some embodiments”, “in various embodiments”, and “in certain embodiments” are intended to indicate that the stated features may be implemented in any suitable embodiment described herein.
Many modifications and other embodiments of the invention will come to mind to one skilled in the art to which this invention pertains having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Therefore, it is to be understood that the invention is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for the purposes of limitation.
This application is a continuation of U.S. patent application Ser. No. 16/436,616, filed Jun. 10, 2019, which is a continuation of U.S. patent application Ser. No. 16/105,602, filed Aug. 20, 2018, now U.S. Pat. No. 10,318,761, issued Jun. 11, 2019, which is a continuation-in-part of U.S. patent application Ser. No. 16/059,911, filed Aug. 9, 2018, now U.S. Pat. No. 10,289,866, issued May 14, 2019, which is a continuation-in-part of U.S. patent application Ser. No. 16/055,083, filed Aug. 4, 2018, now U.S. Pat. No. 10,289,870, issued May 14, 2019; Ser. No. 16/055,961, filed Aug. 6, 2018, now U.S. Pat. No. 10,416,966, issued Sep. 17, 2019; Ser. No. 16/054,672, filed Aug. 3, 2018, now U.S. Pat. No. 10,169,609, issued Jan. 1, 2019; Ser. No. 16/055,984, filed Aug. 6, 2018, now U.S. Pat. No. 10,430,740, issued Oct. 1, 2019; Ser. No. 16/055,944, filed Aug. 6, 2018, now U.S. Pat. No. 10,353,673, issued Jul. 16, 2019; Ser. No. 16/054,762, filed Aug. 3, 2018, now U.S. Pat. No. 10,235,534, issued Mar. 19, 2019; Ser. No. 16/054,780, filed Aug. 3, 2018, now U.S. Pat. No. 10,346,637, issued Jul. 9, 2019; Ser. No. 16/055,998, filed Aug. 6, 2018, now U.S. Pat. No. 10,346,638, issued Jul. 9, 2019, all of which claim priority from U.S. Provisional Patent Application Ser. No. 62/547,530, filed Aug. 18, 2017, and are also continuations-in-part of U.S. patent application Ser. No. 15/996,208, filed Jun. 1, 2018, now U.S. Pat. No. 10,181,051, issued Jan. 15, 2019, which claims priority from U.S. Provisional Patent Application Ser. No. 62/537,839 filed Jul. 27, 2017, and is also a continuation-in-part of U.S. patent application Ser. No. 15/853,674, filed Dec. 22, 2017, now U.S. Pat. No. 10,019,597, issued Jul. 10, 2018, which claims priority from U.S. Provisional Patent Application Ser. No. 62/541,613, filed Aug. 4, 2017, and is also a continuation-in-part of U.S. patent application Ser. No. 15/619,455, filed Jun. 10, 2017, now U.S. Pat. No. 9,851,966, issued Dec. 26, 2017, which is a continuation-in-part of U.S. patent application Ser. No. 15/254,901, filed Sep. 1, 2016, now U.S. Pat. No. 9,729,583, issued Aug. 8, 2017; which claims priority from: (1) U.S. Provisional Patent Application Ser. No. 62/360,123, filed Jul. 8, 2016; (2) U.S. Provisional Patent Application Ser. No. 62/353,802, filed Jun. 23, 2016; (3) U.S. Provisional Patent Application Ser. No. 62/348,695, filed Jun. 10, 2016. The disclosures of all of the above patent applications are hereby incorporated herein by reference in their entirety.
| Number | Name | Date | Kind |
|---|---|---|---|
| 4536866 | Jerome et al. | Aug 1985 | A |
| 4574350 | Starr | Mar 1986 | A |
| 5193162 | Bordsen et al. | Mar 1993 | A |
| 5276735 | Boebert et al. | Jan 1994 | A |
| 5329447 | Leedom, Jr. | Jul 1994 | A |
| 5404299 | Tsurubayashi et al. | Apr 1995 | A |
| 5535393 | Reeve et al. | Jul 1996 | A |
| 5560005 | Hoover et al. | Sep 1996 | A |
| 5668986 | Nilsen et al. | Sep 1997 | A |
| 5710917 | Musa et al. | Jan 1998 | A |
| 5761529 | Raji | Jun 1998 | A |
| 5764906 | Edelstein et al. | Jun 1998 | A |
| 5872973 | Mitchell et al. | Feb 1999 | A |
| 5913041 | Ramanathan et al. | Jun 1999 | A |
| 5913214 | Madnick et al. | Jun 1999 | A |
| 6016394 | Walker | Jan 2000 | A |
| 6122627 | Carey et al. | Sep 2000 | A |
| 6148297 | Swor et al. | Nov 2000 | A |
| 6148342 | Ho | Nov 2000 | A |
| 6240416 | Immon et al. | May 2001 | B1 |
| 6240422 | Atkins et al. | May 2001 | B1 |
| 6243816 | Fang et al. | Jun 2001 | B1 |
| 6253203 | Oflaherty et al. | Jun 2001 | B1 |
| 6263335 | Paik et al. | Jul 2001 | B1 |
| 6272631 | Thomlinson et al. | Aug 2001 | B1 |
| 6275824 | Oflaherty et al. | Aug 2001 | B1 |
| 6282548 | Burner et al. | Aug 2001 | B1 |
| 6330562 | Boden et al. | Dec 2001 | B1 |
| 6363488 | Ginter et al. | Mar 2002 | B1 |
| 6374237 | Reese | Apr 2002 | B1 |
| 6374252 | Althoff et al. | Apr 2002 | B1 |
| 6408336 | Schneider et al. | Jun 2002 | B1 |
| 6427230 | Goiffon et al. | Jul 2002 | B1 |
| 6442688 | Moses et al. | Aug 2002 | B1 |
| 6446120 | Dantressangle | Sep 2002 | B1 |
| 6463488 | San Juan | Oct 2002 | B1 |
| 6484149 | Jammes et al. | Nov 2002 | B1 |
| 6484180 | Lyons et al. | Nov 2002 | B1 |
| 6516314 | Birkler et al. | Feb 2003 | B1 |
| 6516337 | Tripp et al. | Feb 2003 | B1 |
| 6519571 | Guheen et al. | Feb 2003 | B1 |
| 6574631 | Subramanian et al. | Jun 2003 | B1 |
| 6591272 | Williams | Jul 2003 | B1 |
| 6601233 | Underwood | Jul 2003 | B1 |
| 6606744 | Mikurak | Aug 2003 | B1 |
| 6611812 | Hurtado et al. | Aug 2003 | B2 |
| 6625602 | Meredith et al. | Sep 2003 | B1 |
| 6629081 | Cornelius et al. | Sep 2003 | B1 |
| 6633878 | Underwood | Oct 2003 | B1 |
| 6662192 | Rebane | Dec 2003 | B1 |
| 6662357 | Bowman-Amuah | Dec 2003 | B1 |
| 6697824 | Bowman-Amuah | Feb 2004 | B1 |
| 6699042 | Smith et al. | Mar 2004 | B2 |
| 6701314 | Conover et al. | Mar 2004 | B1 |
| 6721713 | Guheen et al. | Apr 2004 | B1 |
| 6725200 | Rost | Apr 2004 | B1 |
| 6732109 | Lindberg et al. | May 2004 | B2 |
| 6754665 | Futagami et al. | Jun 2004 | B1 |
| 6755344 | Mollett et al. | Jun 2004 | B1 |
| 6757685 | Raffaele et al. | Jun 2004 | B2 |
| 6757888 | Knutson et al. | Jun 2004 | B1 |
| 6816944 | Peng | Nov 2004 | B2 |
| 6826693 | Yoshida et al. | Nov 2004 | B1 |
| 6850252 | Hoffberg | Feb 2005 | B1 |
| 6886101 | Glazer et al. | Apr 2005 | B2 |
| 6901346 | Tracy et al. | May 2005 | B2 |
| 6904417 | Clayton et al. | Jun 2005 | B2 |
| 6909897 | Kikuchi | Jun 2005 | B2 |
| 6925443 | Baggett, Jr. et al. | Aug 2005 | B1 |
| 6938041 | Brandow et al. | Aug 2005 | B1 |
| 6956845 | Baker et al. | Oct 2005 | B2 |
| 6978270 | Carty et al. | Dec 2005 | B1 |
| 6980927 | Tracy et al. | Dec 2005 | B2 |
| 6980987 | Kaminer | Dec 2005 | B2 |
| 6983221 | Tracy et al. | Jan 2006 | B2 |
| 6985887 | Sunstein et al. | Jan 2006 | B1 |
| 6990454 | McIntosh | Jan 2006 | B2 |
| 6993448 | Tracy et al. | Jan 2006 | B2 |
| 6993495 | Smith, Jr. et al. | Jan 2006 | B2 |
| 6996807 | Vardi et al. | Feb 2006 | B1 |
| 7003560 | Mullen et al. | Feb 2006 | B1 |
| 7003662 | Genty et al. | Feb 2006 | B2 |
| 7013290 | Ananian | Mar 2006 | B2 |
| 7017105 | Flanagin et al. | Mar 2006 | B2 |
| 7023979 | Wu et al. | Apr 2006 | B1 |
| 7039594 | Gersting | May 2006 | B1 |
| 7039654 | Eder | May 2006 | B1 |
| 7047517 | Brown et al. | May 2006 | B1 |
| 7051036 | Rosnow et al. | May 2006 | B2 |
| 7051038 | Yeh et al. | May 2006 | B1 |
| 7058970 | Shaw | Jun 2006 | B2 |
| 7069427 | Adler et al. | Jun 2006 | B2 |
| 7076558 | Dunn | Jul 2006 | B1 |
| 7093200 | Schreiber et al. | Aug 2006 | B2 |
| 7095854 | Ginter et al. | Aug 2006 | B1 |
| 7100195 | Underwood | Aug 2006 | B1 |
| 7120800 | Ginter et al. | Oct 2006 | B2 |
| 7124101 | Mikurak | Oct 2006 | B1 |
| 7124107 | Pishevar et al. | Oct 2006 | B1 |
| 7127705 | Christfort et al. | Oct 2006 | B2 |
| 7127741 | Bandini et al. | Oct 2006 | B2 |
| 7133845 | Ginter et al. | Nov 2006 | B1 |
| 7139999 | Bowman-Amuah | Nov 2006 | B2 |
| 7143091 | Charnock et al. | Nov 2006 | B2 |
| 7149698 | Guheen et al. | Dec 2006 | B2 |
| 7165041 | Guheen et al. | Jan 2007 | B1 |
| 7167842 | Josephson, II et al. | Jan 2007 | B1 |
| 7167844 | Leong et al. | Jan 2007 | B1 |
| 7171379 | Menninger et al. | Jan 2007 | B2 |
| 7181438 | Szabo | Feb 2007 | B1 |
| 7203929 | Vinodkrishnan et al. | Apr 2007 | B1 |
| 7213233 | Vinodkrishnan et al. | May 2007 | B1 |
| 7216340 | Vinodkrishnan et al. | May 2007 | B1 |
| 7219066 | Parks et al. | May 2007 | B2 |
| 7223234 | Stupp et al. | May 2007 | B2 |
| 7225460 | Barzilai et al. | May 2007 | B2 |
| 7234065 | Breslin et al. | Jun 2007 | B2 |
| 7247625 | Zhang et al. | Jul 2007 | B2 |
| 7251624 | Lee et al. | Jul 2007 | B1 |
| 7260830 | Sugimoto | Aug 2007 | B2 |
| 7266566 | Kennaley et al. | Sep 2007 | B1 |
| 7272818 | Ishimitsu et al. | Sep 2007 | B2 |
| 7275063 | Horn | Sep 2007 | B2 |
| 7281020 | Fine | Oct 2007 | B2 |
| 7284232 | Bates et al. | Oct 2007 | B1 |
| 7284271 | Lucovsky et al. | Oct 2007 | B2 |
| 7287280 | Young | Oct 2007 | B2 |
| 7290275 | Baudoin et al. | Oct 2007 | B2 |
| 7293119 | Beale | Nov 2007 | B2 |
| 7299299 | Hollenbeck et al. | Nov 2007 | B2 |
| 7302569 | Betz et al. | Nov 2007 | B2 |
| 7313575 | Carr et al. | Dec 2007 | B2 |
| 7313699 | Koga | Dec 2007 | B2 |
| 7313825 | Redlich et al. | Dec 2007 | B2 |
| 7315826 | Guheen et al. | Jan 2008 | B1 |
| 7315849 | Bakalash et al. | Jan 2008 | B2 |
| 7322047 | Redlich et al. | Jan 2008 | B2 |
| 7330850 | Seibel et al. | Feb 2008 | B1 |
| 7340447 | Ghatare | Mar 2008 | B2 |
| 7340776 | Zobel et al. | Mar 2008 | B2 |
| 7343434 | Kapoor et al. | Mar 2008 | B2 |
| 7346518 | Frank et al. | Mar 2008 | B1 |
| 7353204 | Liu | Apr 2008 | B2 |
| 7356559 | Jacobs et al. | Apr 2008 | B1 |
| 7367014 | Griffin | Apr 2008 | B2 |
| 7370025 | Pandit | May 2008 | B1 |
| 7376835 | Olkin et al. | May 2008 | B2 |
| 7380120 | Garcia | May 2008 | B1 |
| 7382903 | Ray | Jun 2008 | B2 |
| 7383570 | Pinkas et al. | Jun 2008 | B2 |
| 7391854 | Salonen et al. | Jun 2008 | B2 |
| 7398393 | Mont et al. | Jul 2008 | B2 |
| 7401235 | Mowers et al. | Jul 2008 | B2 |
| 7403942 | Bayliss | Jul 2008 | B1 |
| 7409354 | Putnam et al. | Aug 2008 | B2 |
| 7412402 | Cooper | Aug 2008 | B2 |
| 7424680 | Carpenter | Sep 2008 | B2 |
| 7428546 | Nori et al. | Sep 2008 | B2 |
| 7430585 | Sibert | Sep 2008 | B2 |
| 7454457 | Lowery et al. | Nov 2008 | B1 |
| 7454508 | Mathew et al. | Nov 2008 | B2 |
| 7478157 | Bohrer et al. | Jan 2009 | B2 |
| 7480755 | Herrell et al. | Jan 2009 | B2 |
| 7487170 | Stevens | Feb 2009 | B2 |
| 7493282 | Manly et al. | Feb 2009 | B2 |
| 7512987 | Williams | Mar 2009 | B2 |
| 7516882 | Cucinotta | Apr 2009 | B2 |
| 7523053 | Pudhukottai et al. | Apr 2009 | B2 |
| 7529836 | Bolen | May 2009 | B1 |
| 7548968 | Bura et al. | Jun 2009 | B1 |
| 7552480 | Voss | Jun 2009 | B1 |
| 7562339 | Racca et al. | Jul 2009 | B2 |
| 7565685 | Ross et al. | Jul 2009 | B2 |
| 7567541 | Karimi et al. | Jul 2009 | B2 |
| 7584505 | Mondri et al. | Sep 2009 | B2 |
| 7584508 | Kashchenko et al. | Sep 2009 | B1 |
| 7587749 | Leser et al. | Sep 2009 | B2 |
| 7590705 | Mathew et al. | Sep 2009 | B2 |
| 7590972 | Axelrod et al. | Sep 2009 | B2 |
| 7603356 | Schran et al. | Oct 2009 | B2 |
| 7606783 | Carter | Oct 2009 | B1 |
| 7606790 | Levy | Oct 2009 | B2 |
| 7607120 | Sanyal et al. | Oct 2009 | B2 |
| 7613700 | Lobo | Nov 2009 | B1 |
| 7617136 | Lessing et al. | Nov 2009 | B1 |
| 7617167 | Griffis et al. | Nov 2009 | B2 |
| 7620644 | Cote et al. | Nov 2009 | B2 |
| 7627666 | Degiulio et al. | Dec 2009 | B1 |
| 7630874 | Fables et al. | Dec 2009 | B2 |
| 7630998 | Zhou et al. | Dec 2009 | B2 |
| 7636742 | Olavarrieta et al. | Dec 2009 | B1 |
| 7640322 | Wendkos et al. | Dec 2009 | B2 |
| 7650497 | Thornton et al. | Jan 2010 | B2 |
| 7653592 | Flaxman et al. | Jan 2010 | B1 |
| 7657476 | Barney | Feb 2010 | B2 |
| 7657694 | Mansell et al. | Feb 2010 | B2 |
| 7665073 | Meijer et al. | Feb 2010 | B2 |
| 7665125 | Heard et al. | Feb 2010 | B2 |
| 7668947 | Hutchinson et al. | Feb 2010 | B2 |
| 7673282 | Amaru et al. | Mar 2010 | B2 |
| 7676034 | Wu et al. | Mar 2010 | B1 |
| 7681034 | Lee et al. | Mar 2010 | B1 |
| 7681140 | Ebert | Mar 2010 | B2 |
| 7685561 | Deem et al. | Mar 2010 | B2 |
| 7685577 | Pace et al. | Mar 2010 | B2 |
| 7693593 | Ishibashi et al. | Apr 2010 | B2 |
| 7698398 | Lai | Apr 2010 | B1 |
| 7702639 | Stanley et al. | Apr 2010 | B2 |
| 7707224 | Chastagnol et al. | Apr 2010 | B2 |
| 7712029 | Ferreira et al. | May 2010 | B2 |
| 7716242 | Pae et al. | May 2010 | B2 |
| 7725474 | Tamai et al. | May 2010 | B2 |
| 7725875 | Waldrep | May 2010 | B2 |
| 7729940 | Harvey et al. | Jun 2010 | B2 |
| 7730142 | Levasseur et al. | Jun 2010 | B2 |
| 7752124 | Green et al. | Jul 2010 | B2 |
| 7756826 | Bots et al. | Jul 2010 | B2 |
| 7756987 | Wang et al. | Jul 2010 | B2 |
| 7761586 | Olenick et al. | Jul 2010 | B2 |
| 7774745 | Fildebrandt et al. | Aug 2010 | B2 |
| 7788212 | Beckmann et al. | Aug 2010 | B2 |
| 7788222 | Shah et al. | Aug 2010 | B2 |
| 7788632 | Kuester et al. | Aug 2010 | B2 |
| 7788726 | Teixeira | Aug 2010 | B2 |
| 7801758 | Gracie et al. | Sep 2010 | B2 |
| 7801826 | Labrou et al. | Sep 2010 | B2 |
| 7801912 | Ransil et al. | Sep 2010 | B2 |
| 7802305 | Leeds | Sep 2010 | B1 |
| 7805349 | Yu et al. | Sep 2010 | B2 |
| 7805451 | Hosokawa | Sep 2010 | B2 |
| 7813947 | Deangelis et al. | Oct 2010 | B2 |
| 7822620 | Dixon et al. | Oct 2010 | B2 |
| 7827523 | Ahmed et al. | Nov 2010 | B2 |
| 7836078 | Dettinger et al. | Nov 2010 | B2 |
| 7844640 | Bender et al. | Nov 2010 | B2 |
| 7849143 | Vuong | Dec 2010 | B2 |
| 7853468 | Callahan et al. | Dec 2010 | B2 |
| 7853470 | Sonnleithner et al. | Dec 2010 | B2 |
| 7853925 | Kemmler | Dec 2010 | B2 |
| 7860816 | Fokoue-Nkoutche et al. | Dec 2010 | B2 |
| 7870540 | Zare et al. | Jan 2011 | B2 |
| 7870608 | Shraim et al. | Jan 2011 | B2 |
| 7873541 | Klar et al. | Jan 2011 | B1 |
| 7877327 | Gwiazda et al. | Jan 2011 | B2 |
| 7877812 | Koved et al. | Jan 2011 | B2 |
| 7885841 | King | Feb 2011 | B2 |
| 7890461 | Oeda et al. | Feb 2011 | B2 |
| 7895260 | Archer et al. | Feb 2011 | B2 |
| 7904478 | Yu et al. | Mar 2011 | B2 |
| 7904487 | Ghatare | Mar 2011 | B2 |
| 7917888 | Chong et al. | Mar 2011 | B2 |
| 7917963 | Goyal et al. | Mar 2011 | B2 |
| 7921152 | Ashley et al. | Apr 2011 | B2 |
| 7930197 | Ozzie et al. | Apr 2011 | B2 |
| 7930753 | Mellinger et al. | Apr 2011 | B2 |
| 7953725 | Burris et al. | May 2011 | B2 |
| 7954150 | Croft et al. | May 2011 | B2 |
| 7958087 | Blumenau | Jun 2011 | B2 |
| 7958494 | Chaar et al. | Jun 2011 | B2 |
| 7962900 | Barraclough et al. | Jun 2011 | B2 |
| 7966310 | Sullivan et al. | Jun 2011 | B2 |
| 7966599 | Malasky et al. | Jun 2011 | B1 |
| 7966663 | Strickland et al. | Jun 2011 | B2 |
| 7974992 | Fastabend et al. | Jul 2011 | B2 |
| 7975000 | Dixon et al. | Jul 2011 | B2 |
| 7991559 | Dzekunov et al. | Aug 2011 | B2 |
| 7991747 | Upadhyay et al. | Aug 2011 | B1 |
| 7996372 | Rubel, Jr. | Aug 2011 | B2 |
| 8005891 | Knowles et al. | Aug 2011 | B2 |
| 8010612 | Costea et al. | Aug 2011 | B2 |
| 8010720 | Iwaoka et al. | Aug 2011 | B2 |
| 8019881 | Sandhu et al. | Sep 2011 | B2 |
| 8020206 | Hubbard et al. | Sep 2011 | B2 |
| 8024384 | Prabhakar et al. | Sep 2011 | B2 |
| 8032721 | Murai | Oct 2011 | B2 |
| 8036374 | Noble, Jr. | Oct 2011 | B2 |
| 8037409 | Jacob et al. | Oct 2011 | B2 |
| 8041749 | Beck | Oct 2011 | B2 |
| 8041913 | Wang | Oct 2011 | B2 |
| 8069161 | Bugir et al. | Nov 2011 | B2 |
| 8069471 | Boren | Nov 2011 | B2 |
| 8082539 | Schelkogonov | Dec 2011 | B1 |
| 8090754 | Schmidt et al. | Jan 2012 | B2 |
| 8095923 | Harvey et al. | Jan 2012 | B2 |
| 8099709 | Baikov et al. | Jan 2012 | B2 |
| 8103962 | Embley et al. | Jan 2012 | B2 |
| 8117441 | Kurien et al. | Feb 2012 | B2 |
| 8135815 | Mayer | Mar 2012 | B2 |
| 8146054 | Baker et al. | Mar 2012 | B2 |
| 8146074 | Ito et al. | Mar 2012 | B2 |
| 8150717 | Whitmore | Apr 2012 | B2 |
| 8156105 | Altounian et al. | Apr 2012 | B2 |
| 8156158 | Rolls et al. | Apr 2012 | B2 |
| 8156159 | Ebrahimi et al. | Apr 2012 | B2 |
| 8166406 | Goldfeder et al. | Apr 2012 | B1 |
| 8176061 | Swanbeck et al. | May 2012 | B2 |
| 8176177 | Sussman et al. | May 2012 | B2 |
| 8176334 | Vainstein | May 2012 | B2 |
| 8176470 | Klumpp et al. | May 2012 | B2 |
| 8180759 | Hamzy | May 2012 | B2 |
| 8181151 | Sedukhin et al. | May 2012 | B2 |
| 8185409 | Putnam et al. | May 2012 | B2 |
| 8196176 | Berteau et al. | Jun 2012 | B2 |
| 8205093 | Argott | Jun 2012 | B2 |
| 8205140 | Hafeez et al. | Jun 2012 | B2 |
| 8214362 | Djabarov | Jul 2012 | B1 |
| 8214803 | Horii et al. | Jul 2012 | B2 |
| 8234377 | Cohn | Jul 2012 | B2 |
| 8239244 | Ginsberg et al. | Aug 2012 | B2 |
| 8250051 | Bugir et al. | Aug 2012 | B2 |
| 8255468 | Vitaldevara et al. | Aug 2012 | B2 |
| 8260262 | Ben Ayed | Sep 2012 | B2 |
| 8261362 | Goodwin et al. | Sep 2012 | B2 |
| 8266231 | Golovin et al. | Sep 2012 | B1 |
| 8275632 | Awaraji et al. | Sep 2012 | B2 |
| 8275793 | Ahmad et al. | Sep 2012 | B2 |
| 8286239 | Sutton | Oct 2012 | B1 |
| 8312549 | Goldberg et al. | Nov 2012 | B2 |
| 8316237 | Felsher et al. | Nov 2012 | B1 |
| 8332908 | Hatakeyama et al. | Dec 2012 | B2 |
| 8340999 | Kumaran et al. | Dec 2012 | B2 |
| 8341405 | Meijer et al. | Dec 2012 | B2 |
| 8346929 | Lai | Jan 2013 | B1 |
| 8364713 | Pollard | Jan 2013 | B2 |
| 8370224 | Grewal | Feb 2013 | B2 |
| 8370794 | Moosmann et al. | Feb 2013 | B2 |
| 8380630 | Felsher | Feb 2013 | B2 |
| 8380743 | Converting et al. | Feb 2013 | B2 |
| 8381180 | Rostoker | Feb 2013 | B2 |
| 8381297 | Touboul | Feb 2013 | B2 |
| 8386314 | Kirkby et al. | Feb 2013 | B2 |
| 8392982 | Harris et al. | Mar 2013 | B2 |
| 8418226 | Gardner | Apr 2013 | B2 |
| 8423954 | Ronen et al. | Apr 2013 | B2 |
| 8429179 | Mirhaji | Apr 2013 | B1 |
| 8429597 | Prigge | Apr 2013 | B2 |
| 8429630 | Nickolov et al. | Apr 2013 | B2 |
| 8429758 | Chen et al. | Apr 2013 | B2 |
| 8438644 | Watters et al. | May 2013 | B2 |
| 8463247 | Misiag | Jun 2013 | B2 |
| 8464311 | Ashley et al. | Jun 2013 | B2 |
| 8468244 | Redlich et al. | Jun 2013 | B2 |
| 8473324 | Alvarez et al. | Jun 2013 | B2 |
| 8474012 | Ahmed et al. | Jun 2013 | B2 |
| 8494894 | Jaster et al. | Jul 2013 | B2 |
| 8504481 | Motahari et al. | Aug 2013 | B2 |
| 8510199 | Erlanger | Aug 2013 | B1 |
| 8515988 | Jones et al. | Aug 2013 | B2 |
| 8516076 | Thomas | Aug 2013 | B2 |
| 8527337 | Lim et al. | Sep 2013 | B1 |
| 8533746 | Nolan et al. | Sep 2013 | B2 |
| 8533844 | Mahaffey et al. | Sep 2013 | B2 |
| 8538817 | Wilson | Sep 2013 | B2 |
| 8539359 | Rapaport et al. | Sep 2013 | B2 |
| 8539437 | Finlayson et al. | Sep 2013 | B2 |
| 8560645 | Linden et al. | Oct 2013 | B2 |
| 8560841 | Chin et al. | Oct 2013 | B2 |
| 8560956 | Curtis et al. | Oct 2013 | B2 |
| 8561100 | Hu et al. | Oct 2013 | B2 |
| 8561153 | Grason et al. | Oct 2013 | B2 |
| 8565729 | Moseler et al. | Oct 2013 | B2 |
| 8566726 | Dixon et al. | Oct 2013 | B2 |
| 8566938 | Prakash et al. | Oct 2013 | B1 |
| 8571909 | Miller et al. | Oct 2013 | B2 |
| 8572717 | Narayanaswamy | Oct 2013 | B2 |
| 8578036 | Holfelder et al. | Nov 2013 | B1 |
| 8578166 | De Monseignat et al. | Nov 2013 | B2 |
| 8578481 | Rowley | Nov 2013 | B2 |
| 8578501 | Ogilvie | Nov 2013 | B1 |
| 8583694 | Siegel et al. | Nov 2013 | B2 |
| 8583766 | Dixon et al. | Nov 2013 | B2 |
| 8589183 | Awaraji et al. | Nov 2013 | B2 |
| 8601467 | Hofhansl et al. | Dec 2013 | B2 |
| 8601591 | Krishnamurthy et al. | Dec 2013 | B2 |
| 8606746 | Yeap et al. | Dec 2013 | B2 |
| 8612420 | Sun et al. | Dec 2013 | B2 |
| 8612993 | Grant et al. | Dec 2013 | B2 |
| 8615549 | Knowles et al. | Dec 2013 | B2 |
| 8615731 | Doshi | Dec 2013 | B2 |
| 8620952 | Bennett et al. | Dec 2013 | B2 |
| 8621637 | Al-Harbi et al. | Dec 2013 | B2 |
| 8626671 | Federgreen | Jan 2014 | B2 |
| 8627114 | Resch et al. | Jan 2014 | B2 |
| 8630961 | Beilby et al. | Jan 2014 | B2 |
| 8631048 | Davis et al. | Jan 2014 | B1 |
| 8640110 | Kopp et al. | Jan 2014 | B2 |
| 8646072 | Savant | Feb 2014 | B1 |
| 8650399 | Le Bihan et al. | Feb 2014 | B2 |
| 8655939 | Redlich et al. | Feb 2014 | B2 |
| 8656265 | Paulin et al. | Feb 2014 | B1 |
| 8656456 | Maxson et al. | Feb 2014 | B2 |
| 8661036 | Turski et al. | Feb 2014 | B2 |
| 8667074 | Farkas | Mar 2014 | B1 |
| 8667487 | Boodman et al. | Mar 2014 | B1 |
| 8677472 | Dotan et al. | Mar 2014 | B1 |
| 8681984 | Lee et al. | Mar 2014 | B2 |
| 8682698 | Cashman et al. | Mar 2014 | B2 |
| 8683502 | Shkedi et al. | Mar 2014 | B2 |
| 8688601 | Jaiswal | Apr 2014 | B2 |
| 8689292 | Williams et al. | Apr 2014 | B2 |
| 8693689 | Belenkiy et al. | Apr 2014 | B2 |
| 8700524 | Williams et al. | Apr 2014 | B2 |
| 8700699 | Shen et al. | Apr 2014 | B2 |
| 8706742 | Ravid et al. | Apr 2014 | B1 |
| 8707451 | Ture et al. | Apr 2014 | B2 |
| 8712813 | King | Apr 2014 | B2 |
| 8713098 | Adya et al. | Apr 2014 | B1 |
| 8713638 | Hu et al. | Apr 2014 | B2 |
| 8719366 | Mathew et al. | May 2014 | B2 |
| 8732839 | Hohl | May 2014 | B2 |
| 8744894 | Christiansen et al. | Jun 2014 | B2 |
| 8751285 | Deb et al. | Jun 2014 | B2 |
| 8762406 | Ho et al. | Jun 2014 | B2 |
| 8762413 | Graham, Jr. et al. | Jun 2014 | B2 |
| 8763071 | Sinha et al. | Jun 2014 | B2 |
| 8763082 | Huber et al. | Jun 2014 | B2 |
| 8763131 | Archer et al. | Jun 2014 | B2 |
| 8767947 | Ristock et al. | Jul 2014 | B1 |
| 8769242 | Tkac et al. | Jul 2014 | B2 |
| 8769412 | Gill et al. | Jul 2014 | B2 |
| 8769671 | Shraim | Jul 2014 | B2 |
| 8776241 | Zaitsev | Jul 2014 | B2 |
| 8788935 | Hirsch et al. | Jul 2014 | B1 |
| 8793614 | Wilson et al. | Jul 2014 | B2 |
| 8793650 | Hilerio et al. | Jul 2014 | B2 |
| 8793781 | Grossi et al. | Jul 2014 | B2 |
| 8793809 | Falkenburg et al. | Jul 2014 | B2 |
| 8799984 | Ahn | Aug 2014 | B2 |
| 8805707 | Schumann, Jr. et al. | Aug 2014 | B2 |
| 8805806 | Amarendran et al. | Aug 2014 | B2 |
| 8805925 | Price et al. | Aug 2014 | B2 |
| 8812342 | Barcelo et al. | Aug 2014 | B2 |
| 8812752 | Shih et al. | Aug 2014 | B1 |
| 8812766 | Kranendonk et al. | Aug 2014 | B2 |
| 8813028 | Farooqi | Aug 2014 | B2 |
| 8813214 | McNair et al. | Aug 2014 | B1 |
| 8819253 | Simeloff et al. | Aug 2014 | B2 |
| 8819617 | Koenig et al. | Aug 2014 | B1 |
| 8819800 | Gao et al. | Aug 2014 | B2 |
| 8826446 | Liu et al. | Sep 2014 | B1 |
| 8832649 | Bishop et al. | Sep 2014 | B2 |
| 8832854 | Staddon et al. | Sep 2014 | B1 |
| 8839232 | Taylor et al. | Sep 2014 | B2 |
| 8843487 | McGraw et al. | Sep 2014 | B2 |
| 8843745 | Roberts, Jr. | Sep 2014 | B2 |
| 8849757 | Kruglick | Sep 2014 | B2 |
| 8856534 | Khosravi et al. | Oct 2014 | B2 |
| 8856936 | Datta Ray et al. | Oct 2014 | B2 |
| 8862507 | Sandhu et al. | Oct 2014 | B2 |
| 8863261 | Yang | Oct 2014 | B2 |
| 8875232 | Blom et al. | Oct 2014 | B2 |
| 8893078 | Schaude et al. | Nov 2014 | B2 |
| 8893286 | Oliver | Nov 2014 | B1 |
| 8893297 | Eversoll et al. | Nov 2014 | B2 |
| 8904494 | Kindler et al. | Dec 2014 | B2 |
| 8914263 | Shimada et al. | Dec 2014 | B2 |
| 8914299 | Pesci-Anderson et al. | Dec 2014 | B2 |
| 8914342 | Kalaboukis et al. | Dec 2014 | B2 |
| 8914902 | Moritz et al. | Dec 2014 | B2 |
| 8918306 | Cashman et al. | Dec 2014 | B2 |
| 8918392 | Brooker et al. | Dec 2014 | B1 |
| 8918632 | Sartor | Dec 2014 | B1 |
| 8930896 | Wiggins | Jan 2015 | B1 |
| 8930897 | Nassar | Jan 2015 | B2 |
| 8935198 | Phillips et al. | Jan 2015 | B1 |
| 8935266 | Wu | Jan 2015 | B2 |
| 8935342 | Patel | Jan 2015 | B2 |
| 8935804 | Clark et al. | Jan 2015 | B1 |
| 8938221 | Brazier et al. | Jan 2015 | B2 |
| 8943076 | Stewart et al. | Jan 2015 | B2 |
| 8943548 | Drokov et al. | Jan 2015 | B2 |
| 8949137 | Crapo et al. | Feb 2015 | B2 |
| 8955038 | Nicodemus et al. | Feb 2015 | B2 |
| 8959568 | Hudis et al. | Feb 2015 | B2 |
| 8959584 | Piliouras | Feb 2015 | B2 |
| 8966575 | McQuay et al. | Feb 2015 | B2 |
| 8966597 | Saylor et al. | Feb 2015 | B1 |
| 8973108 | Roth et al. | Mar 2015 | B1 |
| 8977234 | Chava | Mar 2015 | B2 |
| 8977643 | Schindlauer et al. | Mar 2015 | B2 |
| 8978158 | Rajkumar et al. | Mar 2015 | B2 |
| 8983972 | Kriebel et al. | Mar 2015 | B2 |
| 8984031 | Todd | Mar 2015 | B1 |
| 8990933 | Magdalin | Mar 2015 | B1 |
| 8996417 | Channakeshava | Mar 2015 | B1 |
| 8996480 | Agarwala et al. | Mar 2015 | B2 |
| 8997213 | Papakipos et al. | Mar 2015 | B2 |
| 9003295 | Baschy | Apr 2015 | B2 |
| 9003552 | Goodwin et al. | Apr 2015 | B2 |
| 9009851 | Droste et al. | Apr 2015 | B2 |
| 9014661 | Decharms | Apr 2015 | B2 |
| 9015796 | Fujioka | Apr 2015 | B1 |
| 9021469 | Hilerio et al. | Apr 2015 | B2 |
| 9026526 | Bau et al. | May 2015 | B1 |
| 9030987 | Bianchei et al. | May 2015 | B2 |
| 9032067 | Prasad et al. | May 2015 | B2 |
| 9043217 | Cashman et al. | May 2015 | B2 |
| 9043480 | Barton et al. | May 2015 | B2 |
| 9047463 | Porras | Jun 2015 | B2 |
| 9047582 | Hutchinson et al. | Jun 2015 | B2 |
| 9047583 | Patton et al. | Jun 2015 | B2 |
| 9047639 | Ouintiliani et al. | Jun 2015 | B1 |
| 9049244 | Prince et al. | Jun 2015 | B2 |
| 9049314 | Pugh et al. | Jun 2015 | B2 |
| 9055071 | Gates et al. | Jun 2015 | B1 |
| 9058590 | Criddle et al. | Jun 2015 | B2 |
| 9064033 | Jin et al. | Jun 2015 | B2 |
| 9069940 | Hars | Jun 2015 | B2 |
| 9076231 | Hill et al. | Jul 2015 | B1 |
| 9077736 | Werth et al. | Jul 2015 | B2 |
| 9081952 | Sagi et al. | Jul 2015 | B2 |
| 9087090 | Cormier et al. | Jul 2015 | B1 |
| 9092796 | Eversoll et al. | Jul 2015 | B2 |
| 9094434 | Williams et al. | Jul 2015 | B2 |
| 9098515 | Richter et al. | Aug 2015 | B2 |
| 9100778 | Stogaitis et al. | Aug 2015 | B2 |
| 9106691 | Burger et al. | Aug 2015 | B1 |
| 9106710 | Feimster | Aug 2015 | B1 |
| 9110918 | Rajaa et al. | Aug 2015 | B1 |
| 9111105 | Barton et al. | Aug 2015 | B2 |
| 9111295 | Tietzen et al. | Aug 2015 | B2 |
| 9123339 | Shaw et al. | Sep 2015 | B1 |
| 9129311 | Schoen et al. | Sep 2015 | B2 |
| 9135261 | Maunder et al. | Sep 2015 | B2 |
| 9135444 | Carter et al. | Sep 2015 | B2 |
| 9141823 | Dawson | Sep 2015 | B2 |
| 9141911 | Zhao et al. | Sep 2015 | B2 |
| 9152818 | Hathaway et al. | Oct 2015 | B1 |
| 9152820 | Pauley, Jr. et al. | Oct 2015 | B1 |
| 9154514 | Prakash | Oct 2015 | B1 |
| 9154556 | Dotan et al. | Oct 2015 | B1 |
| 9158655 | Wadhwani et al. | Oct 2015 | B2 |
| 9165036 | Mehra | Oct 2015 | B2 |
| 9170996 | Lovric et al. | Oct 2015 | B2 |
| 9172706 | Krishnamurthy et al. | Oct 2015 | B2 |
| 9177293 | Gagnon et al. | Nov 2015 | B1 |
| 9178901 | Xue et al. | Nov 2015 | B2 |
| 9183100 | Gventer et al. | Nov 2015 | B2 |
| 9189642 | Perlman | Nov 2015 | B2 |
| 9201572 | Lyon et al. | Dec 2015 | B2 |
| 9201770 | Duerk | Dec 2015 | B1 |
| 9202026 | Reeves | Dec 2015 | B1 |
| 9202085 | Mawdsley et al. | Dec 2015 | B2 |
| 9215076 | Roth et al. | Dec 2015 | B1 |
| 9215252 | Smith et al. | Dec 2015 | B2 |
| 9218596 | Ronca et al. | Dec 2015 | B2 |
| 9224009 | Liu et al. | Dec 2015 | B1 |
| 9230036 | Davis | Jan 2016 | B2 |
| 9231935 | Bridge et al. | Jan 2016 | B1 |
| 9232040 | Barash et al. | Jan 2016 | B2 |
| 9235476 | McHugh et al. | Jan 2016 | B2 |
| 9240987 | Barrett-Bowen et al. | Jan 2016 | B2 |
| 9241259 | Daniela et al. | Jan 2016 | B2 |
| 9245126 | Christodorescu et al. | Jan 2016 | B2 |
| 9245266 | Hardt | Jan 2016 | B2 |
| 9253609 | Hosier, Jr. | Feb 2016 | B2 |
| 9264443 | Weisman | Feb 2016 | B2 |
| 9274858 | Milliron et al. | Mar 2016 | B2 |
| 9280581 | Grimes et al. | Mar 2016 | B1 |
| 9286149 | Sampson et al. | Mar 2016 | B2 |
| 9286282 | Ling, III et al. | Mar 2016 | B2 |
| 9288118 | Pattan | Mar 2016 | B1 |
| 9288556 | Kim et al. | Mar 2016 | B2 |
| 9294498 | Yampolskiy et al. | Mar 2016 | B1 |
| 9299050 | Stiffler et al. | Mar 2016 | B2 |
| 9306939 | Chan et al. | Apr 2016 | B2 |
| 9317697 | Maier et al. | Apr 2016 | B2 |
| 9317715 | Schuette et al. | Apr 2016 | B2 |
| 9325731 | McGeehan | Apr 2016 | B2 |
| 9336184 | Mital et al. | May 2016 | B2 |
| 9336220 | Li et al. | May 2016 | B2 |
| 9336324 | Lomme et al. | May 2016 | B2 |
| 9336332 | Davis et al. | May 2016 | B2 |
| 9336400 | Milman et al. | May 2016 | B2 |
| 9338188 | Ahn | May 2016 | B1 |
| 9342706 | Chawla et al. | May 2016 | B2 |
| 9344297 | Shah et al. | May 2016 | B2 |
| 9344424 | Tenenboym et al. | May 2016 | B2 |
| 9344484 | Ferris | May 2016 | B2 |
| 9348802 | Massand | May 2016 | B2 |
| 9348862 | Kawecki, III | May 2016 | B2 |
| 9348929 | Eberlein | May 2016 | B2 |
| 9349016 | Brisebois et al. | May 2016 | B1 |
| 9350718 | Sondhi et al. | May 2016 | B2 |
| 9355157 | Mohammed et al. | May 2016 | B2 |
| 9356961 | Todd et al. | May 2016 | B1 |
| 9361446 | Demirjian et al. | Jun 2016 | B1 |
| 9369488 | Woods et al. | Jun 2016 | B2 |
| 9374693 | Olincy et al. | Jun 2016 | B1 |
| 9384199 | Thereska et al. | Jul 2016 | B2 |
| 9384357 | Patil et al. | Jul 2016 | B2 |
| 9386078 | Reno et al. | Jul 2016 | B2 |
| 9386104 | Adams et al. | Jul 2016 | B2 |
| 9395959 | Hatfield et al. | Jul 2016 | B2 |
| 9396332 | Abrams et al. | Jul 2016 | B2 |
| 9401900 | Levasseur et al. | Jul 2016 | B2 |
| 9411967 | Parecki et al. | Aug 2016 | B2 |
| 9411982 | Dippenaar et al. | Aug 2016 | B1 |
| 9417859 | Gounares et al. | Aug 2016 | B2 |
| 9418221 | Turgeman | Aug 2016 | B2 |
| 9424021 | Zamir | Aug 2016 | B2 |
| 9424414 | Demirjian et al. | Aug 2016 | B1 |
| 9426177 | Wang et al. | Aug 2016 | B2 |
| 9450940 | Belov et al. | Sep 2016 | B2 |
| 9460136 | Todd et al. | Oct 2016 | B1 |
| 9460171 | Marrelli et al. | Oct 2016 | B2 |
| 9460307 | Breslau et al. | Oct 2016 | B2 |
| 9461876 | Van Dusen et al. | Oct 2016 | B2 |
| 9462009 | Kolman et al. | Oct 2016 | B1 |
| 9465702 | Gventer et al. | Oct 2016 | B2 |
| 9465800 | Lacey | Oct 2016 | B2 |
| 9473446 | Vijay et al. | Oct 2016 | B2 |
| 9473505 | Asano et al. | Oct 2016 | B1 |
| 9473535 | Sartor | Oct 2016 | B2 |
| 9477523 | Warman et al. | Oct 2016 | B1 |
| 9477660 | Scott et al. | Oct 2016 | B2 |
| 9477685 | Leung et al. | Oct 2016 | B1 |
| 9477942 | Adachi et al. | Oct 2016 | B2 |
| 9483659 | Bao et al. | Nov 2016 | B2 |
| 9489366 | Scott et al. | Nov 2016 | B2 |
| 9495547 | Schepis et al. | Nov 2016 | B1 |
| 9501523 | Hyatt et al. | Nov 2016 | B2 |
| 9507960 | Bell et al. | Nov 2016 | B2 |
| 9509674 | Nasserbakht et al. | Nov 2016 | B1 |
| 9509702 | Grigg et al. | Nov 2016 | B2 |
| 9514231 | Eden | Dec 2016 | B2 |
| 9516012 | Chochois et al. | Dec 2016 | B2 |
| 9521166 | Wilson | Dec 2016 | B2 |
| 9524500 | Dave et al. | Dec 2016 | B2 |
| 9529989 | Kling et al. | Dec 2016 | B2 |
| 9536108 | Powell et al. | Jan 2017 | B2 |
| 9537546 | Cordeiro et al. | Jan 2017 | B2 |
| 9542568 | Francis et al. | Jan 2017 | B2 |
| 9549047 | Fredinburg et al. | Jan 2017 | B1 |
| 9552395 | Bayer et al. | Jan 2017 | B2 |
| 9552470 | Turgeman et al. | Jan 2017 | B2 |
| 9553918 | Manion et al. | Jan 2017 | B1 |
| 9558497 | Carvalho | Jan 2017 | B2 |
| 9569752 | Deering et al. | Feb 2017 | B2 |
| 9571509 | Satish et al. | Feb 2017 | B1 |
| 9571526 | Sartor | Feb 2017 | B2 |
| 9571559 | Raleigh et al. | Feb 2017 | B2 |
| 9571991 | Brizendine et al. | Feb 2017 | B1 |
| 9576289 | Henderson et al. | Feb 2017 | B2 |
| 9578060 | Brisebois et al. | Feb 2017 | B1 |
| 9578173 | Sangh et al. | Feb 2017 | B2 |
| 9582681 | Mishra | Feb 2017 | B2 |
| 9584964 | Pelkey | Feb 2017 | B2 |
| 9589110 | Carey et al. | Mar 2017 | B2 |
| 9600181 | Patel et al. | Mar 2017 | B2 |
| 9602529 | Jones et al. | Mar 2017 | B2 |
| 9606971 | Seolas et al. | Mar 2017 | B2 |
| 9607041 | Himmelstein | Mar 2017 | B2 |
| 9619652 | Slater | Apr 2017 | B2 |
| 9619661 | Finkelstein | Apr 2017 | B1 |
| 9621357 | Williams et al. | Apr 2017 | B2 |
| 9621566 | Gupta et al. | Apr 2017 | B2 |
| 9626124 | Lipinski et al. | Apr 2017 | B2 |
| 9626680 | Ryan et al. | Apr 2017 | B1 |
| 9629064 | Graves et al. | Apr 2017 | B2 |
| 9642008 | Wyatt et al. | May 2017 | B2 |
| 9646095 | Gottlieb et al. | May 2017 | B1 |
| 9647949 | Varki et al. | May 2017 | B2 |
| 9648036 | Seiver et al. | May 2017 | B2 |
| 9652314 | Mahiddini | May 2017 | B2 |
| 9654506 | Barrett | May 2017 | B2 |
| 9654541 | Kapczynski et al. | May 2017 | B1 |
| 9665722 | Nagasu et al. | May 2017 | B2 |
| 9665733 | Sills et al. | May 2017 | B1 |
| 9665883 | Roullier et al. | May 2017 | B2 |
| 9672053 | Tang et al. | Jun 2017 | B2 |
| 9672355 | Titonis et al. | Jun 2017 | B2 |
| 9678794 | Barrett et al. | Jun 2017 | B1 |
| 9691090 | Barday | Jun 2017 | B1 |
| 9699209 | Ng et al. | Jul 2017 | B2 |
| 9703549 | Dufresne | Jul 2017 | B2 |
| 9704103 | Suskind et al. | Jul 2017 | B2 |
| 9705840 | Pujare et al. | Jul 2017 | B2 |
| 9705880 | Siris | Jul 2017 | B2 |
| 9721078 | Cornick et al. | Aug 2017 | B2 |
| 9721108 | Krishnamurthy et al. | Aug 2017 | B2 |
| 9727751 | Oliver et al. | Aug 2017 | B2 |
| 9729583 | Barday | Aug 2017 | B1 |
| 9734148 | Bendersky et al. | Aug 2017 | B2 |
| 9734255 | Jiang | Aug 2017 | B2 |
| 9736004 | Jung et al. | Aug 2017 | B2 |
| 9740985 | Byron et al. | Aug 2017 | B2 |
| 9740987 | Dolan | Aug 2017 | B2 |
| 9749408 | Subramani et al. | Aug 2017 | B2 |
| 9754091 | Kode et al. | Sep 2017 | B2 |
| 9756059 | Demirjian et al. | Sep 2017 | B2 |
| 9760620 | Nachnani et al. | Sep 2017 | B2 |
| 9760635 | Bliss et al. | Sep 2017 | B2 |
| 9760697 | Walker | Sep 2017 | B1 |
| 9760849 | Vinnakota et al. | Sep 2017 | B2 |
| 9762553 | Ford et al. | Sep 2017 | B2 |
| 9767202 | Darby et al. | Sep 2017 | B2 |
| 9767309 | Patel et al. | Sep 2017 | B1 |
| 9769124 | Yan | Sep 2017 | B2 |
| 9773269 | Lazarus | Sep 2017 | B1 |
| 9785795 | Grondin et al. | Oct 2017 | B2 |
| 9787671 | Bogrett | Oct 2017 | B1 |
| 9798749 | Saner | Oct 2017 | B2 |
| 9798826 | Wilson et al. | Oct 2017 | B2 |
| 9798896 | Jakobsson | Oct 2017 | B2 |
| 9800605 | Baikalov et al. | Oct 2017 | B2 |
| 9800606 | Yumer | Oct 2017 | B1 |
| 9804649 | Cohen et al. | Oct 2017 | B2 |
| 9804928 | Davis et al. | Oct 2017 | B2 |
| 9805381 | Frank et al. | Oct 2017 | B2 |
| 9811532 | Parkison et al. | Nov 2017 | B2 |
| 9817850 | Dubbels et al. | Nov 2017 | B2 |
| 9817978 | Marsh et al. | Nov 2017 | B2 |
| 9819684 | Cernoch et al. | Nov 2017 | B2 |
| 9825928 | Lelcuk | Nov 2017 | B2 |
| 9830563 | Paknad | Nov 2017 | B2 |
| 9832633 | Gerber, Jr. et al. | Nov 2017 | B2 |
| 9836598 | Iyer et al. | Dec 2017 | B2 |
| 9838407 | Oprea et al. | Dec 2017 | B1 |
| 9838839 | Vudali et al. | Dec 2017 | B2 |
| 9841969 | Seibert, Jr. et al. | Dec 2017 | B2 |
| 9842042 | Chhatwal et al. | Dec 2017 | B2 |
| 9842349 | Sawczuk et al. | Dec 2017 | B2 |
| 9848005 | Ardeli et al. | Dec 2017 | B2 |
| 9848061 | Jain et al. | Dec 2017 | B1 |
| 9852150 | Sharpe et al. | Dec 2017 | B2 |
| 9853959 | Kapczynski et al. | Dec 2017 | B1 |
| 9860226 | Thormaehlen | Jan 2018 | B2 |
| 9864735 | Lamprecht | Jan 2018 | B1 |
| 9876825 | Amar et al. | Jan 2018 | B2 |
| 9877138 | Franklin | Jan 2018 | B1 |
| 9880157 | Levak et al. | Jan 2018 | B2 |
| 9882935 | Barday | Jan 2018 | B2 |
| 9887965 | Kay et al. | Feb 2018 | B2 |
| 9888377 | McCorkendale et al. | Feb 2018 | B1 |
| 9892441 | Barday | Feb 2018 | B2 |
| 9892442 | Barday | Feb 2018 | B2 |
| 9892443 | Barday | Feb 2018 | B2 |
| 9892444 | Barday | Feb 2018 | B2 |
| 9894076 | Li et al. | Feb 2018 | B2 |
| 9898613 | Swerdlow et al. | Feb 2018 | B1 |
| 9898739 | Monastyrsky et al. | Feb 2018 | B2 |
| 9898769 | Barday | Feb 2018 | B2 |
| 9912625 | Mutha et al. | Mar 2018 | B2 |
| 9912677 | Chien | Mar 2018 | B2 |
| 9912810 | Segre et al. | Mar 2018 | B2 |
| 9916703 | Levinson et al. | Mar 2018 | B2 |
| 9922124 | Rathod | Mar 2018 | B2 |
| 9923927 | McClintock et al. | Mar 2018 | B1 |
| 9928379 | Hoffer | Mar 2018 | B1 |
| 9934493 | Castinado et al. | Apr 2018 | B2 |
| 9934544 | Whitfield et al. | Apr 2018 | B1 |
| 9936127 | Todasco | Apr 2018 | B2 |
| 9942214 | Burciu et al. | Apr 2018 | B1 |
| 9942244 | Lahoz et al. | Apr 2018 | B2 |
| 9942276 | Sartor | Apr 2018 | B2 |
| 9946897 | Lovin | Apr 2018 | B2 |
| 9948652 | Yu et al. | Apr 2018 | B2 |
| 9948663 | Wang et al. | Apr 2018 | B1 |
| 9953189 | Cook et al. | Apr 2018 | B2 |
| 9954879 | Sadaghiani et al. | Apr 2018 | B1 |
| 9954883 | Ahuja et al. | Apr 2018 | B2 |
| 9959551 | Schermerhorn et al. | May 2018 | B1 |
| 9959582 | Sukman et al. | May 2018 | B2 |
| 9961070 | Tang | May 2018 | B2 |
| 9973518 | Lee et al. | May 2018 | B2 |
| 9973585 | Ruback et al. | May 2018 | B2 |
| 9977904 | Khan et al. | May 2018 | B2 |
| 9977920 | Danielson et al. | May 2018 | B2 |
| 9983936 | Dornemann et al. | May 2018 | B2 |
| 9984252 | Pollard | May 2018 | B2 |
| 9990499 | Chan et al. | Jun 2018 | B2 |
| 9992213 | Sinnema | Jun 2018 | B2 |
| 10001975 | Bharthulwar | Jun 2018 | B2 |
| 10002064 | Muske | Jun 2018 | B2 |
| 10007895 | Vanasco | Jun 2018 | B2 |
| 10013577 | Beaumont et al. | Jul 2018 | B1 |
| 10015164 | Hamburg et al. | Jul 2018 | B2 |
| 10019339 | Von Hanxleden et al. | Jul 2018 | B2 |
| 10019588 | Garcia et al. | Jul 2018 | B2 |
| 10019591 | Beguin | Jul 2018 | B1 |
| 10019741 | Hesselink | Jul 2018 | B2 |
| 10021143 | Cabrera et al. | Jul 2018 | B2 |
| 10025804 | Vranyes et al. | Jul 2018 | B2 |
| 10028226 | Ayyagari et al. | Jul 2018 | B2 |
| 10032172 | Barday | Jul 2018 | B2 |
| 10044761 | Ducatel et al. | Aug 2018 | B2 |
| 10055426 | Arasan et al. | Aug 2018 | B2 |
| 10055869 | Borrelli et al. | Aug 2018 | B2 |
| 10061847 | Mohammed et al. | Aug 2018 | B2 |
| 10069858 | Robinson et al. | Sep 2018 | B2 |
| 10069914 | Smith | Sep 2018 | B1 |
| 10073924 | Karp et al. | Sep 2018 | B2 |
| 10075437 | Costigan et al. | Sep 2018 | B1 |
| 10075451 | Hall et al. | Sep 2018 | B1 |
| 10084817 | Saher et al. | Sep 2018 | B2 |
| 10091214 | Godlewski et al. | Oct 2018 | B2 |
| 10091312 | Khanwalkar et al. | Oct 2018 | B1 |
| 10097551 | Chan et al. | Oct 2018 | B2 |
| 10102533 | Barday | Oct 2018 | B2 |
| 10108409 | Pirzadeh et al. | Oct 2018 | B2 |
| 10122663 | Hu et al. | Nov 2018 | B2 |
| 10122760 | Terrill et al. | Nov 2018 | B2 |
| 10127403 | Kong et al. | Nov 2018 | B2 |
| 10129211 | Heath | Nov 2018 | B2 |
| 10140666 | Wang et al. | Nov 2018 | B1 |
| 10142113 | Zaidi et al. | Nov 2018 | B2 |
| 10152560 | Potiagalov et al. | Dec 2018 | B2 |
| 10158676 | Barday | Dec 2018 | B2 |
| 10165011 | Barday | Dec 2018 | B2 |
| 10169762 | Ogawa | Jan 2019 | B2 |
| 10176503 | Barday et al. | Jan 2019 | B2 |
| 10181043 | Pauley, Jr. et al. | Jan 2019 | B1 |
| 10181051 | Barday et al. | Jan 2019 | B2 |
| 10187363 | Smirnoff et al. | Jan 2019 | B2 |
| 10187394 | Bar et al. | Jan 2019 | B2 |
| 10204154 | Barday et al. | Feb 2019 | B2 |
| 10205994 | Splaine et al. | Feb 2019 | B2 |
| 10212134 | Rai | Feb 2019 | B2 |
| 10212175 | Seul et al. | Feb 2019 | B2 |
| 10223533 | Dawson | Mar 2019 | B2 |
| 10230571 | Rangasamy et al. | Mar 2019 | B2 |
| 10250594 | Chathoth et al. | Apr 2019 | B2 |
| 10255602 | Wang | Apr 2019 | B2 |
| 10257127 | Dotan-Cohen et al. | Apr 2019 | B2 |
| 10257181 | Sherif et al. | Apr 2019 | B1 |
| 10268838 | Yadgiri et al. | Apr 2019 | B2 |
| 10275221 | Thattai et al. | Apr 2019 | B2 |
| 10275614 | Barday et al. | Apr 2019 | B2 |
| 10282370 | Barday et al. | May 2019 | B1 |
| 10282559 | Barday et al. | May 2019 | B2 |
| 10284604 | Barday et al. | May 2019 | B2 |
| 10289584 | Chiba | May 2019 | B2 |
| 10289857 | Brinskelle | May 2019 | B1 |
| 10289866 | Barday et al. | May 2019 | B2 |
| 10289867 | Barday et al. | May 2019 | B2 |
| 10289870 | Barday et al. | May 2019 | B2 |
| 10296504 | Hock et al. | May 2019 | B2 |
| 10304442 | Rudden et al. | May 2019 | B1 |
| 10310723 | Rathod | Jun 2019 | B2 |
| 10311042 | Kumar | Jun 2019 | B1 |
| 10311475 | Yuasa | Jun 2019 | B2 |
| 10311492 | Gelfenbeyn et al. | Jun 2019 | B2 |
| 10318761 | Barday et al. | Jun 2019 | B2 |
| 10320940 | Brennan et al. | Jun 2019 | B1 |
| 10324960 | Skvortsov et al. | Jun 2019 | B1 |
| 10326768 | Verweyst et al. | Jun 2019 | B2 |
| 10326798 | Lambert | Jun 2019 | B2 |
| 10326841 | Bradley et al. | Jun 2019 | B2 |
| 10327100 | Davis | Jun 2019 | B1 |
| 10331689 | Sorrentino et al. | Jun 2019 | B2 |
| 10331904 | Sher-Jan et al. | Jun 2019 | B2 |
| 10333975 | Soman et al. | Jun 2019 | B2 |
| 10339470 | Dutta et al. | Jul 2019 | B1 |
| 10346186 | Kalyanpur | Jul 2019 | B2 |
| 10346635 | Kumar et al. | Jul 2019 | B2 |
| 10346637 | Barday et al. | Jul 2019 | B2 |
| 10346638 | Barday et al. | Jul 2019 | B2 |
| 10346849 | Ionescu et al. | Jul 2019 | B2 |
| 10348726 | Caluwaert | Jul 2019 | B2 |
| 10348775 | Barday | Jul 2019 | B2 |
| 10353673 | Barday et al. | Jul 2019 | B2 |
| 10361857 | Woo | Jul 2019 | B2 |
| 10366241 | Sartor | Jul 2019 | B2 |
| 10373119 | Driscoll et al. | Aug 2019 | B2 |
| 10373409 | White et al. | Aug 2019 | B2 |
| 10375115 | Mallya | Aug 2019 | B2 |
| 10387559 | Wendt et al. | Aug 2019 | B1 |
| 10387577 | Hill et al. | Aug 2019 | B2 |
| 10387657 | Belfiore, Jr. et al. | Aug 2019 | B2 |
| 10387952 | Sandhu et al. | Aug 2019 | B1 |
| 10395201 | Vescio | Aug 2019 | B2 |
| 10402545 | Gorfein et al. | Sep 2019 | B2 |
| 10404729 | Turgeman | Sep 2019 | B2 |
| 10417401 | Votaw et al. | Sep 2019 | B2 |
| 10417621 | Cassel et al. | Sep 2019 | B2 |
| 10419476 | Parekh | Sep 2019 | B2 |
| 10423985 | Dutta et al. | Sep 2019 | B1 |
| 10425492 | Comstock et al. | Sep 2019 | B2 |
| 10430608 | Peri et al. | Oct 2019 | B2 |
| 10435350 | Ito et al. | Oct 2019 | B2 |
| 10437412 | Barday et al. | Oct 2019 | B2 |
| 10437860 | Barday et al. | Oct 2019 | B2 |
| 10438016 | Barday et al. | Oct 2019 | B2 |
| 10438273 | Burns et al. | Oct 2019 | B2 |
| 10440062 | Barday et al. | Oct 2019 | B2 |
| 10445508 | Sher-Jan et al. | Oct 2019 | B2 |
| 10445526 | Barday et al. | Oct 2019 | B2 |
| 10452864 | Barday et al. | Oct 2019 | B2 |
| 10452866 | Barday et al. | Oct 2019 | B2 |
| 10453076 | Parekh et al. | Oct 2019 | B2 |
| 10453092 | Wang et al. | Oct 2019 | B1 |
| 10454934 | Parimi et al. | Oct 2019 | B2 |
| 10481763 | Bartkiewicz et al. | Nov 2019 | B2 |
| 10489454 | Chen | Nov 2019 | B1 |
| 10503926 | Barday et al. | Dec 2019 | B2 |
| 10510031 | Barday et al. | Dec 2019 | B2 |
| 10521623 | Rodriguez et al. | Dec 2019 | B2 |
| 10534851 | Chan et al. | Jan 2020 | B1 |
| 10535081 | Ferreira et al. | Jan 2020 | B2 |
| 10536475 | McCorkle, Jr. et al. | Jan 2020 | B1 |
| 10536478 | Kirti et al. | Jan 2020 | B2 |
| 10541938 | Timmerman et al. | Jan 2020 | B1 |
| 10546135 | Kassoumeh et al. | Jan 2020 | B1 |
| 10552462 | Hart | Feb 2020 | B1 |
| 10558809 | Joyce et al. | Feb 2020 | B1 |
| 10558821 | Barday et al. | Feb 2020 | B2 |
| 10564815 | Soon-Shiong | Feb 2020 | B2 |
| 10564935 | Barday et al. | Feb 2020 | B2 |
| 10564936 | Barday et al. | Feb 2020 | B2 |
| 10565161 | Barday et al. | Feb 2020 | B2 |
| 10565236 | Barday et al. | Feb 2020 | B1 |
| 10567439 | Barday | Feb 2020 | B2 |
| 10567517 | Weinig et al. | Feb 2020 | B2 |
| 10572684 | Lafever et al. | Feb 2020 | B2 |
| 10572686 | Barday et al. | Feb 2020 | B2 |
| 10574705 | Barday et al. | Feb 2020 | B2 |
| 10581825 | Poschel et al. | Mar 2020 | B2 |
| 10592648 | Barday et al. | Mar 2020 | B2 |
| 10592692 | Brannon et al. | Mar 2020 | B2 |
| 10606916 | Brannon et al. | Mar 2020 | B2 |
| 10613971 | Vasikarla | Apr 2020 | B1 |
| 10614365 | Sathish et al. | Apr 2020 | B2 |
| 10628553 | Murrish et al. | Apr 2020 | B1 |
| 10645102 | Hamdi | May 2020 | B2 |
| 10645548 | Reynolds et al. | May 2020 | B2 |
| 10649630 | Vora et al. | May 2020 | B1 |
| 10650408 | Andersen et al. | May 2020 | B1 |
| 10657469 | Bade et al. | May 2020 | B2 |
| 10657504 | Zimmerman et al. | May 2020 | B1 |
| 10659566 | Luah et al. | May 2020 | B1 |
| 10671749 | Felice-Steele et al. | Jun 2020 | B2 |
| 10671760 | Esmailzadeh et al. | Jun 2020 | B2 |
| 10678945 | Barday et al. | Jun 2020 | B2 |
| 10685140 | Barday et al. | Jun 2020 | B2 |
| 10706176 | Brannon et al. | Jul 2020 | B2 |
| 10706226 | Byun et al. | Jul 2020 | B2 |
| 10708305 | Barday et al. | Jul 2020 | B2 |
| 10713387 | Brannon et al. | Jul 2020 | B2 |
| 10726145 | Duminy et al. | Jul 2020 | B2 |
| 10726153 | Nerurkar et al. | Jul 2020 | B2 |
| 10726158 | Brannon et al. | Jul 2020 | B2 |
| 10732865 | Jain et al. | Aug 2020 | B2 |
| 10735388 | Rose et al. | Aug 2020 | B2 |
| 10740487 | Barday et al. | Aug 2020 | B2 |
| 10747893 | Kiriyama et al. | Aug 2020 | B2 |
| 10747897 | Cook | Aug 2020 | B2 |
| 10749870 | Brouillette et al. | Aug 2020 | B2 |
| 10762213 | Rudek et al. | Sep 2020 | B2 |
| 10762236 | Brannon et al. | Sep 2020 | B2 |
| 10769302 | Barday et al. | Sep 2020 | B2 |
| 10769303 | Brannon et al. | Sep 2020 | B2 |
| 10776510 | Antonelli et al. | Sep 2020 | B2 |
| 10776518 | Barday et al. | Sep 2020 | B2 |
| 10778792 | Handy Bosma et al. | Sep 2020 | B1 |
| 10783256 | Brannon et al. | Sep 2020 | B2 |
| 10785173 | Willett et al. | Sep 2020 | B2 |
| 10785299 | Gupta et al. | Sep 2020 | B2 |
| 10791150 | Barday et al. | Sep 2020 | B2 |
| 10795527 | Legge et al. | Oct 2020 | B1 |
| 10796020 | Barday et al. | Oct 2020 | B2 |
| 10796260 | Brannon et al. | Oct 2020 | B2 |
| 10798133 | Barday et al. | Oct 2020 | B2 |
| 10803196 | Bodegas Martinez et al. | Oct 2020 | B2 |
| 10805331 | Boyer et al. | Oct 2020 | B2 |
| 10831831 | Greene | Nov 2020 | B2 |
| 10834590 | Turgeman et al. | Nov 2020 | B2 |
| 10846433 | Brannon et al. | Nov 2020 | B2 |
| 10853501 | Brannon | Dec 2020 | B2 |
| 10860721 | Gentile | Dec 2020 | B1 |
| 10860742 | Joseph et al. | Dec 2020 | B2 |
| 10860979 | Geffen et al. | Dec 2020 | B2 |
| 10878127 | Brannon et al. | Dec 2020 | B2 |
| 10885485 | Brannon et al. | Jan 2021 | B2 |
| 10891393 | Currier et al. | Jan 2021 | B2 |
| 10893074 | Sartor | Jan 2021 | B2 |
| 10896394 | Brannon et al. | Jan 2021 | B2 |
| 10902490 | He et al. | Jan 2021 | B2 |
| 10909488 | Hecht et al. | Feb 2021 | B2 |
| 10924514 | Altman et al. | Feb 2021 | B1 |
| 10929557 | Chavez | Feb 2021 | B2 |
| 10949555 | Rattan et al. | Mar 2021 | B2 |
| 10949565 | Barday et al. | Mar 2021 | B2 |
| 10956213 | Chambers et al. | Mar 2021 | B1 |
| 10957326 | Bhaya et al. | Mar 2021 | B2 |
| 10963571 | Bar Joseph et al. | Mar 2021 | B2 |
| 10963572 | Belfiore, Jr. et al. | Mar 2021 | B2 |
| 10965547 | Esposito et al. | Mar 2021 | B1 |
| 10970418 | Durvasula et al. | Apr 2021 | B2 |
| 10972509 | Barday et al. | Apr 2021 | B2 |
| 10976950 | Trezzo et al. | Apr 2021 | B1 |
| 10983963 | Venkatasubramanian et al. | Apr 2021 | B1 |
| 10984458 | Gutierrez | Apr 2021 | B1 |
| 10997318 | Barday et al. | May 2021 | B2 |
| 11003748 | Oliker et al. | May 2021 | B2 |
| 11012475 | Patnala et al. | May 2021 | B2 |
| 11023528 | Lee et al. | Jun 2021 | B1 |
| 11037168 | Lee et al. | Jun 2021 | B1 |
| 11057356 | Malhotra et al. | Jul 2021 | B2 |
| 11057427 | Wright et al. | Jul 2021 | B2 |
| 11062051 | Barday et al. | Jul 2021 | B2 |
| 11068318 | Kuesel et al. | Jul 2021 | B2 |
| 11068584 | Burriesci et al. | Jul 2021 | B2 |
| 11068618 | Brannon et al. | Jul 2021 | B2 |
| 11068797 | Bhide et al. | Jul 2021 | B2 |
| 11068847 | Boutros et al. | Jul 2021 | B2 |
| 11093950 | Hersh et al. | Aug 2021 | B2 |
| 11138299 | Brannon et al. | Oct 2021 | B2 |
| 11144622 | Brannon et al. | Oct 2021 | B2 |
| 11144678 | Dondini et al. | Oct 2021 | B2 |
| 11144862 | Jackson et al. | Oct 2021 | B1 |
| 11195134 | Brannon et al. | Dec 2021 | B2 |
| 11201929 | Dudmesh et al. | Dec 2021 | B2 |
| 11210420 | Brannon et al. | Dec 2021 | B2 |
| 11238390 | Brannon et al. | Feb 2022 | B2 |
| 11240273 | Barday et al. | Feb 2022 | B2 |
| 11252159 | Kannan et al. | Feb 2022 | B2 |
| 11256777 | Brannon et al. | Feb 2022 | B2 |
| 11263262 | Chen | Mar 2022 | B2 |
| 11327996 | Reynolds et al. | May 2022 | B2 |
| 20020004736 | Roundtree et al. | Jan 2002 | A1 |
| 20020049907 | Woods et al. | Apr 2002 | A1 |
| 20020055932 | Wheeler et al. | May 2002 | A1 |
| 20020062453 | Koga | May 2002 | A1 |
| 20020077941 | Halligan et al. | Jun 2002 | A1 |
| 20020103854 | Okita | Aug 2002 | A1 |
| 20020129216 | Collins | Sep 2002 | A1 |
| 20020161594 | Bryan et al. | Oct 2002 | A1 |
| 20020161733 | Grainger | Oct 2002 | A1 |
| 20030041250 | Proudler | Feb 2003 | A1 |
| 20030065641 | Chaloux | Apr 2003 | A1 |
| 20030093680 | Astley et al. | May 2003 | A1 |
| 20030097451 | Bjorksten et al. | May 2003 | A1 |
| 20030097661 | Li et al. | May 2003 | A1 |
| 20030115142 | Brickell | Jun 2003 | A1 |
| 20030130893 | Farmer | Jul 2003 | A1 |
| 20030131001 | Matsuo | Jul 2003 | A1 |
| 20030131093 | Aschen | Jul 2003 | A1 |
| 20030140150 | Kemp et al. | Jul 2003 | A1 |
| 20030167216 | Brown et al. | Sep 2003 | A1 |
| 20030212604 | Cullen | Nov 2003 | A1 |
| 20030229581 | Green | Dec 2003 | A1 |
| 20040002818 | Kulp et al. | Jan 2004 | A1 |
| 20040025053 | Hayward | Feb 2004 | A1 |
| 20040088235 | Ziekle et al. | May 2004 | A1 |
| 20040098366 | Sinclair et al. | May 2004 | A1 |
| 20040098493 | Rees | May 2004 | A1 |
| 20040111359 | Hudock | Jun 2004 | A1 |
| 20040186912 | Harlow et al. | Sep 2004 | A1 |
| 20040193907 | Patanella | Sep 2004 | A1 |
| 20050022198 | Olapurath et al. | Jan 2005 | A1 |
| 20050033616 | Vavul et al. | Feb 2005 | A1 |
| 20050076294 | Dehamer et al. | Apr 2005 | A1 |
| 20050114343 | Wesinger, Jr. et al. | May 2005 | A1 |
| 20050144066 | Cope et al. | Jun 2005 | A1 |
| 20050197884 | Mullen, Jr. | Sep 2005 | A1 |
| 20050198177 | Black | Sep 2005 | A1 |
| 20050198646 | Kortela | Sep 2005 | A1 |
| 20050246292 | Sarcanin | Nov 2005 | A1 |
| 20050278538 | Fowler | Dec 2005 | A1 |
| 20060031078 | Pizzinger et al. | Feb 2006 | A1 |
| 20060035204 | Lamarche et al. | Feb 2006 | A1 |
| 20060075122 | Lindskog et al. | Apr 2006 | A1 |
| 20060149730 | Curtis | Jul 2006 | A1 |
| 20060156052 | Bodnar et al. | Jul 2006 | A1 |
| 20060190280 | Hoebel et al. | Aug 2006 | A1 |
| 20060206375 | Scott et al. | Sep 2006 | A1 |
| 20060224422 | Cohen | Oct 2006 | A1 |
| 20060253597 | Mujica | Nov 2006 | A1 |
| 20060259416 | Johnson | Nov 2006 | A1 |
| 20070011058 | Dev | Jan 2007 | A1 |
| 20070027715 | Gropper et al. | Feb 2007 | A1 |
| 20070041532 | Salonen | Feb 2007 | A1 |
| 20070061125 | Bhatt et al. | Mar 2007 | A1 |
| 20070061393 | Moore | Mar 2007 | A1 |
| 20070130101 | Anderson et al. | Jun 2007 | A1 |
| 20070130323 | Landsman et al. | Jun 2007 | A1 |
| 20070157311 | Meier et al. | Jul 2007 | A1 |
| 20070173355 | Klein | Jul 2007 | A1 |
| 20070179793 | Bagchi et al. | Aug 2007 | A1 |
| 20070180490 | Renzi et al. | Aug 2007 | A1 |
| 20070192438 | Goei | Aug 2007 | A1 |
| 20070266420 | Hawkins et al. | Nov 2007 | A1 |
| 20070283171 | Breslin et al. | Dec 2007 | A1 |
| 20080015927 | Ramirez | Jan 2008 | A1 |
| 20080028065 | Caso et al. | Jan 2008 | A1 |
| 20080028435 | Strickland et al. | Jan 2008 | A1 |
| 20080047016 | Spoonamore | Feb 2008 | A1 |
| 20080120699 | Spear | May 2008 | A1 |
| 20080140696 | Mathuria | Jun 2008 | A1 |
| 20080189306 | Hewett et al. | Aug 2008 | A1 |
| 20080195436 | Whyte | Aug 2008 | A1 |
| 20080222271 | Spires | Sep 2008 | A1 |
| 20080235177 | Kim et al. | Sep 2008 | A1 |
| 20080270203 | Holmes et al. | Oct 2008 | A1 |
| 20080270351 | Thomsen | Oct 2008 | A1 |
| 20080270381 | Thomsen | Oct 2008 | A1 |
| 20080270382 | Thomsen et al. | Oct 2008 | A1 |
| 20080270451 | Thomsen et al. | Oct 2008 | A1 |
| 20080270462 | Thomsen | Oct 2008 | A1 |
| 20080281649 | Morris | Nov 2008 | A1 |
| 20080282320 | Denovo et al. | Nov 2008 | A1 |
| 20080288271 | Faust | Nov 2008 | A1 |
| 20080288299 | Schultz | Nov 2008 | A1 |
| 20090012896 | Arnold | Jan 2009 | A1 |
| 20090022301 | Mudaliar | Jan 2009 | A1 |
| 20090037975 | Ishikawa et al. | Feb 2009 | A1 |
| 20090119500 | Roth et al. | May 2009 | A1 |
| 20090132419 | Grammer et al. | May 2009 | A1 |
| 20090138276 | Hayashida et al. | May 2009 | A1 |
| 20090140035 | Miller | Jun 2009 | A1 |
| 20090144702 | Atkin et al. | Jun 2009 | A1 |
| 20090158249 | Tomkins et al. | Jun 2009 | A1 |
| 20090172705 | Cheong | Jul 2009 | A1 |
| 20090182818 | Krywaniuk | Jul 2009 | A1 |
| 20090187764 | Astakhov et al. | Jul 2009 | A1 |
| 20090204452 | Iskandar et al. | Aug 2009 | A1 |
| 20090204820 | Brandenburg et al. | Aug 2009 | A1 |
| 20090210347 | Sarcanin | Aug 2009 | A1 |
| 20090216610 | Chorny | Aug 2009 | A1 |
| 20090249076 | Reed et al. | Oct 2009 | A1 |
| 20090303237 | Liu et al. | Dec 2009 | A1 |
| 20100010912 | Jones et al. | Jan 2010 | A1 |
| 20100010968 | Redlich et al. | Jan 2010 | A1 |
| 20100077484 | Paretti et al. | Mar 2010 | A1 |
| 20100082533 | Nakamura et al. | Apr 2010 | A1 |
| 20100094650 | Tran et al. | Apr 2010 | A1 |
| 20100100398 | Auker et al. | Apr 2010 | A1 |
| 20100121773 | Currier et al. | May 2010 | A1 |
| 20100192201 | Shimoni et al. | Jul 2010 | A1 |
| 20100205057 | Hook et al. | Aug 2010 | A1 |
| 20100223349 | Thorson | Sep 2010 | A1 |
| 20100228786 | Török | Sep 2010 | A1 |
| 20100234987 | Benschop et al. | Sep 2010 | A1 |
| 20100235297 | Mamorsky | Sep 2010 | A1 |
| 20100235915 | Memon et al. | Sep 2010 | A1 |
| 20100262624 | Pullikottil | Oct 2010 | A1 |
| 20100268628 | Pitkow et al. | Oct 2010 | A1 |
| 20100268932 | Bhattacharjee | Oct 2010 | A1 |
| 20100281313 | White et al. | Nov 2010 | A1 |
| 20100287114 | Bartko et al. | Nov 2010 | A1 |
| 20100333012 | Adachi et al. | Dec 2010 | A1 |
| 20110006996 | Smith et al. | Jan 2011 | A1 |
| 20110010202 | Neale | Jan 2011 | A1 |
| 20110082794 | Blechman | Apr 2011 | A1 |
| 20110137696 | Meyer et al. | Jun 2011 | A1 |
| 20110145154 | Rivers et al. | Jun 2011 | A1 |
| 20110153396 | Marcuvitz et al. | Jun 2011 | A1 |
| 20110191664 | Sheleheda et al. | Aug 2011 | A1 |
| 20110208850 | Sheleheda et al. | Aug 2011 | A1 |
| 20110209067 | Bogess et al. | Aug 2011 | A1 |
| 20110231896 | Tovar | Sep 2011 | A1 |
| 20110238573 | Varadarajan | Sep 2011 | A1 |
| 20110252456 | Hatakeyama | Oct 2011 | A1 |
| 20110302643 | Pichna et al. | Dec 2011 | A1 |
| 20120041939 | Amsterdamski | Feb 2012 | A1 |
| 20120084151 | Kozak et al. | Apr 2012 | A1 |
| 20120084349 | Lee et al. | Apr 2012 | A1 |
| 20120102411 | Sathish | Apr 2012 | A1 |
| 20120102543 | Kohli et al. | Apr 2012 | A1 |
| 20120110674 | Belani et al. | May 2012 | A1 |
| 20120116923 | Irving et al. | May 2012 | A1 |
| 20120131438 | Li et al. | May 2012 | A1 |
| 20120143650 | Crowley et al. | Jun 2012 | A1 |
| 20120144499 | Tan et al. | Jun 2012 | A1 |
| 20120191596 | Kremen et al. | Jul 2012 | A1 |
| 20120226621 | Petran et al. | Sep 2012 | A1 |
| 20120239557 | Weinflash et al. | Sep 2012 | A1 |
| 20120254320 | Dove et al. | Oct 2012 | A1 |
| 20120259752 | Agee | Oct 2012 | A1 |
| 20120323700 | Aleksandrovich et al. | Dec 2012 | A1 |
| 20120330769 | Arceo | Dec 2012 | A1 |
| 20120330869 | Durham | Dec 2012 | A1 |
| 20130004933 | Bhaskaran | Jan 2013 | A1 |
| 20130018954 | Cheng | Jan 2013 | A1 |
| 20130085801 | Sharpe et al. | Apr 2013 | A1 |
| 20130091106 | Dubbels | Apr 2013 | A1 |
| 20130091156 | Raiche et al. | Apr 2013 | A1 |
| 20130103485 | Postrel | Apr 2013 | A1 |
| 20130111323 | Taghaddos et al. | May 2013 | A1 |
| 20130124257 | Schubert | May 2013 | A1 |
| 20130159351 | Hamann et al. | Jun 2013 | A1 |
| 20130171968 | Wang | Jul 2013 | A1 |
| 20130179982 | Bridges et al. | Jul 2013 | A1 |
| 20130179988 | Bekker et al. | Jul 2013 | A1 |
| 20130185806 | Hatakeyama | Jul 2013 | A1 |
| 20130211872 | Cherry et al. | Aug 2013 | A1 |
| 20130218829 | Martinez | Aug 2013 | A1 |
| 20130219459 | Bradley | Aug 2013 | A1 |
| 20130254649 | O'Neill et al. | Sep 2013 | A1 |
| 20130254699 | Bashir et al. | Sep 2013 | A1 |
| 20130262328 | Federgreen | Oct 2013 | A1 |
| 20130282466 | Hampton | Oct 2013 | A1 |
| 20130290169 | Bathula et al. | Oct 2013 | A1 |
| 20130298071 | Wine | Nov 2013 | A1 |
| 20130311224 | Heroux et al. | Nov 2013 | A1 |
| 20130318207 | Dotter | Nov 2013 | A1 |
| 20130326112 | Park et al. | Dec 2013 | A1 |
| 20130332362 | Ciurea | Dec 2013 | A1 |
| 20130340086 | Blom | Dec 2013 | A1 |
| 20140006355 | Kirihata | Jan 2014 | A1 |
| 20140006616 | Aad et al. | Jan 2014 | A1 |
| 20140012833 | Humprecht | Jan 2014 | A1 |
| 20140019561 | Belity et al. | Jan 2014 | A1 |
| 20140032259 | Lafever et al. | Jan 2014 | A1 |
| 20140032265 | Paprocki | Jan 2014 | A1 |
| 20140040134 | Ciurea | Feb 2014 | A1 |
| 20140040161 | Berlin | Feb 2014 | A1 |
| 20140040979 | Barton et al. | Feb 2014 | A1 |
| 20140041048 | Goodwin et al. | Feb 2014 | A1 |
| 20140047551 | Nagasundaram et al. | Feb 2014 | A1 |
| 20140052463 | Cashman et al. | Feb 2014 | A1 |
| 20140067973 | Eden | Mar 2014 | A1 |
| 20140074550 | Chourey | Mar 2014 | A1 |
| 20140074645 | Ingram | Mar 2014 | A1 |
| 20140089027 | Brown | Mar 2014 | A1 |
| 20140089039 | McClellan | Mar 2014 | A1 |
| 20140108173 | Cooper et al. | Apr 2014 | A1 |
| 20140108968 | Eric | Apr 2014 | A1 |
| 20140137257 | Martinez et al. | May 2014 | A1 |
| 20140142988 | Grosso et al. | May 2014 | A1 |
| 20140143011 | Mudugu et al. | May 2014 | A1 |
| 20140143844 | Goertzen | May 2014 | A1 |
| 20140164476 | Thomson | Jun 2014 | A1 |
| 20140188956 | Subba et al. | Jul 2014 | A1 |
| 20140196143 | Fliderman et al. | Jul 2014 | A1 |
| 20140208418 | Libin | Jul 2014 | A1 |
| 20140222468 | Araya et al. | Aug 2014 | A1 |
| 20140244309 | Francois | Aug 2014 | A1 |
| 20140244325 | Cartwright | Aug 2014 | A1 |
| 20140244375 | Kim | Aug 2014 | A1 |
| 20140244399 | Orduna et al. | Aug 2014 | A1 |
| 20140257917 | Spencer et al. | Sep 2014 | A1 |
| 20140258093 | Gardiner et al. | Sep 2014 | A1 |
| 20140278539 | Edwards | Sep 2014 | A1 |
| 20140278663 | Samuel et al. | Sep 2014 | A1 |
| 20140278730 | Muhart et al. | Sep 2014 | A1 |
| 20140283027 | Orona et al. | Sep 2014 | A1 |
| 20140283106 | Stahura et al. | Sep 2014 | A1 |
| 20140288971 | Whibbs, III | Sep 2014 | A1 |
| 20140289681 | Wielgosz | Sep 2014 | A1 |
| 20140289862 | Gorfein et al. | Sep 2014 | A1 |
| 20140317171 | Fox et al. | Oct 2014 | A1 |
| 20140324480 | Dufel et al. | Oct 2014 | A1 |
| 20140337041 | Madden et al. | Nov 2014 | A1 |
| 20140337466 | Li et al. | Nov 2014 | A1 |
| 20140344015 | Puértolas-Montañës et al. | Nov 2014 | A1 |
| 20150006514 | Hung | Jan 2015 | A1 |
| 20150012363 | Grant et al. | Jan 2015 | A1 |
| 20150019530 | Felch | Jan 2015 | A1 |
| 20150026056 | Calman et al. | Jan 2015 | A1 |
| 20150026260 | Worthley | Jan 2015 | A1 |
| 20150033112 | Norwood et al. | Jan 2015 | A1 |
| 20150066577 | Christiansen et al. | Mar 2015 | A1 |
| 20150066865 | Yara et al. | Mar 2015 | A1 |
| 20150088598 | Acharyya et al. | Mar 2015 | A1 |
| 20150106264 | Johnson | Apr 2015 | A1 |
| 20150106867 | Liang | Apr 2015 | A1 |
| 20150106948 | Holman et al. | Apr 2015 | A1 |
| 20150106949 | Holman et al. | Apr 2015 | A1 |
| 20150121462 | Courage et al. | Apr 2015 | A1 |
| 20150143258 | Carolan et al. | May 2015 | A1 |
| 20150149362 | Baum et al. | May 2015 | A1 |
| 20150154520 | Federgreen et al. | Jun 2015 | A1 |
| 20150169318 | Nash | Jun 2015 | A1 |
| 20150172296 | Fujioka | Jun 2015 | A1 |
| 20150178740 | Borawski et al. | Jun 2015 | A1 |
| 20150199534 | Francis et al. | Jul 2015 | A1 |
| 20150199541 | Koch et al. | Jul 2015 | A1 |
| 20150199702 | Singh | Jul 2015 | A1 |
| 20150229664 | Hawthorn et al. | Aug 2015 | A1 |
| 20150235049 | Cohen et al. | Aug 2015 | A1 |
| 20150235050 | Wouhaybi et al. | Aug 2015 | A1 |
| 20150235283 | Nishikawa | Aug 2015 | A1 |
| 20150242778 | Wilcox et al. | Aug 2015 | A1 |
| 20150242858 | Smith et al. | Aug 2015 | A1 |
| 20150248391 | Watanabe | Sep 2015 | A1 |
| 20150254597 | Jahagirdar | Sep 2015 | A1 |
| 20150261887 | Joukov | Sep 2015 | A1 |
| 20150262189 | Vergeer | Sep 2015 | A1 |
| 20150264417 | Spitz et al. | Sep 2015 | A1 |
| 20150269384 | Holman et al. | Sep 2015 | A1 |
| 20150271167 | Kalai | Sep 2015 | A1 |
| 20150288715 | Hotchkiss | Oct 2015 | A1 |
| 20150309813 | Patel | Oct 2015 | A1 |
| 20150310227 | Ishida et al. | Oct 2015 | A1 |
| 20150310575 | Shelton | Oct 2015 | A1 |
| 20150348200 | Fair et al. | Dec 2015 | A1 |
| 20150356362 | Demos | Dec 2015 | A1 |
| 20150379430 | Dirac et al. | Dec 2015 | A1 |
| 20160006760 | Lala et al. | Jan 2016 | A1 |
| 20160012465 | Sharp | Jan 2016 | A1 |
| 20160026394 | Goto | Jan 2016 | A1 |
| 20160034918 | Bjelajac et al. | Feb 2016 | A1 |
| 20160048700 | Stransky-Heilkron | Feb 2016 | A1 |
| 20160050213 | Storr | Feb 2016 | A1 |
| 20160063523 | Nistor et al. | Mar 2016 | A1 |
| 20160063567 | Srivastava | Mar 2016 | A1 |
| 20160071112 | Unser | Mar 2016 | A1 |
| 20160080405 | Schler et al. | Mar 2016 | A1 |
| 20160099963 | Mahaffey et al. | Apr 2016 | A1 |
| 20160103963 | Mishra | Apr 2016 | A1 |
| 20160104259 | Menrad | Apr 2016 | A1 |
| 20160125550 | Joao et al. | May 2016 | A1 |
| 20160125749 | Delacroix et al. | May 2016 | A1 |
| 20160125751 | Barker et al. | May 2016 | A1 |
| 20160140466 | Sidebottom et al. | May 2016 | A1 |
| 20160143570 | Valacich et al. | May 2016 | A1 |
| 20160148143 | Anderson et al. | May 2016 | A1 |
| 20160162269 | Pogorelik et al. | Jun 2016 | A1 |
| 20160164915 | Cook | Jun 2016 | A1 |
| 20160180386 | Konig | Jun 2016 | A1 |
| 20160188450 | Appusamy et al. | Jun 2016 | A1 |
| 20160189156 | Kim et al. | Jun 2016 | A1 |
| 20160196189 | Miyagi et al. | Jul 2016 | A1 |
| 20160225000 | Glasgow | Aug 2016 | A1 |
| 20160232465 | Kurtz et al. | Aug 2016 | A1 |
| 20160232534 | Lacey et al. | Aug 2016 | A1 |
| 20160234319 | Griffin | Aug 2016 | A1 |
| 20160253497 | Christodorescu et al. | Sep 2016 | A1 |
| 20160255139 | Rathod | Sep 2016 | A1 |
| 20160261631 | Vissamsetty et al. | Sep 2016 | A1 |
| 20160262163 | Gonzalez Garrido et al. | Sep 2016 | A1 |
| 20160292453 | Patterson et al. | Oct 2016 | A1 |
| 20160292621 | Ciccone et al. | Oct 2016 | A1 |
| 20160321582 | Broudou et al. | Nov 2016 | A1 |
| 20160321748 | Mahatma et al. | Nov 2016 | A1 |
| 20160330237 | Edlabadkar | Nov 2016 | A1 |
| 20160335531 | Mullen et al. | Nov 2016 | A1 |
| 20160342811 | Whitcomb et al. | Nov 2016 | A1 |
| 20160359861 | Manov et al. | Dec 2016 | A1 |
| 20160364736 | Maugans, III | Dec 2016 | A1 |
| 20160370954 | Burningham et al. | Dec 2016 | A1 |
| 20160378762 | Rohter | Dec 2016 | A1 |
| 20160381064 | Chan et al. | Dec 2016 | A1 |
| 20160381560 | Margaliot | Dec 2016 | A1 |
| 20170004055 | Horan et al. | Jan 2017 | A1 |
| 20170032395 | Kaufman et al. | Feb 2017 | A1 |
| 20170032408 | Kumar et al. | Feb 2017 | A1 |
| 20170034101 | Kumar et al. | Feb 2017 | A1 |
| 20170041324 | Ionutescu et al. | Feb 2017 | A1 |
| 20170046399 | Sankaranarasimhan et al. | Feb 2017 | A1 |
| 20170046753 | Deupree, IV | Feb 2017 | A1 |
| 20170061501 | Horwich | Mar 2017 | A1 |
| 20170068785 | Experton et al. | Mar 2017 | A1 |
| 20170070495 | Cherry et al. | Mar 2017 | A1 |
| 20170093917 | Chandra et al. | Mar 2017 | A1 |
| 20170115864 | Thomas et al. | Apr 2017 | A1 |
| 20170124570 | Nidamanuri et al. | May 2017 | A1 |
| 20170140174 | Lacey et al. | May 2017 | A1 |
| 20170140467 | Neag et al. | May 2017 | A1 |
| 20170142158 | Laoutaris et al. | May 2017 | A1 |
| 20170142177 | Hu | May 2017 | A1 |
| 20170154188 | Meier et al. | Jun 2017 | A1 |
| 20170161520 | Lockhart, III et al. | Jun 2017 | A1 |
| 20170171235 | Mulchandani et al. | Jun 2017 | A1 |
| 20170171325 | Perez | Jun 2017 | A1 |
| 20170177324 | Frank et al. | Jun 2017 | A1 |
| 20170180378 | Tyler et al. | Jun 2017 | A1 |
| 20170180505 | Shaw et al. | Jun 2017 | A1 |
| 20170193017 | Migliori | Jul 2017 | A1 |
| 20170193624 | Tsai | Jul 2017 | A1 |
| 20170201518 | Holmqvist et al. | Jul 2017 | A1 |
| 20170206707 | Guay et al. | Jul 2017 | A1 |
| 20170208084 | Steelman et al. | Jul 2017 | A1 |
| 20170220685 | Yan et al. | Aug 2017 | A1 |
| 20170220964 | Datta Ray | Aug 2017 | A1 |
| 20170249710 | Guillama et al. | Aug 2017 | A1 |
| 20170269791 | Meyerzon et al. | Sep 2017 | A1 |
| 20170270318 | Ritchie | Sep 2017 | A1 |
| 20170278004 | McElhinney et al. | Sep 2017 | A1 |
| 20170278117 | Wallace et al. | Sep 2017 | A1 |
| 20170286719 | Krishnamurthy et al. | Oct 2017 | A1 |
| 20170287031 | Barday | Oct 2017 | A1 |
| 20170289199 | Barday | Oct 2017 | A1 |
| 20170308875 | O'Regan et al. | Oct 2017 | A1 |
| 20170316400 | Venkatakrishnan et al. | Nov 2017 | A1 |
| 20170330197 | DiMaggio et al. | Nov 2017 | A1 |
| 20170353404 | Hodge | Dec 2017 | A1 |
| 20180032757 | Michael | Feb 2018 | A1 |
| 20180039975 | Hefetz | Feb 2018 | A1 |
| 20180041498 | Kikuchi | Feb 2018 | A1 |
| 20180046753 | Shelton | Feb 2018 | A1 |
| 20180046939 | Meron et al. | Feb 2018 | A1 |
| 20180063174 | Grill et al. | Mar 2018 | A1 |
| 20180063190 | Wright et al. | Mar 2018 | A1 |
| 20180082368 | Weinflash et al. | Mar 2018 | A1 |
| 20180083843 | Sambandam | Mar 2018 | A1 |
| 20180091476 | Jakobsson et al. | Mar 2018 | A1 |
| 20180131574 | Jacobs et al. | May 2018 | A1 |
| 20180131658 | Bhagwan et al. | May 2018 | A1 |
| 20180165637 | Romero et al. | Jun 2018 | A1 |
| 20180198614 | Neumann | Jul 2018 | A1 |
| 20180204281 | Painter et al. | Jul 2018 | A1 |
| 20180219917 | Chiang | Aug 2018 | A1 |
| 20180239500 | Allen et al. | Aug 2018 | A1 |
| 20180248914 | Sartor | Aug 2018 | A1 |
| 20180285887 | Maung | Oct 2018 | A1 |
| 20180301222 | Dew, Sr. et al. | Oct 2018 | A1 |
| 20180307859 | Lafever et al. | Oct 2018 | A1 |
| 20180336509 | Guttmann | Nov 2018 | A1 |
| 20180349583 | Turgeman et al. | Dec 2018 | A1 |
| 20180351888 | Howard | Dec 2018 | A1 |
| 20180352003 | Winn et al. | Dec 2018 | A1 |
| 20180357243 | Yoon | Dec 2018 | A1 |
| 20180365720 | Goldman et al. | Dec 2018 | A1 |
| 20180374030 | Barday et al. | Dec 2018 | A1 |
| 20180375814 | Hart | Dec 2018 | A1 |
| 20190005210 | Wiederspohn et al. | Jan 2019 | A1 |
| 20190012211 | Selvaraj | Jan 2019 | A1 |
| 20190012672 | Francesco | Jan 2019 | A1 |
| 20190019184 | Lacey et al. | Jan 2019 | A1 |
| 20190050547 | Welsh et al. | Feb 2019 | A1 |
| 20190087570 | Sloane | Mar 2019 | A1 |
| 20190096020 | Barday et al. | Mar 2019 | A1 |
| 20190108353 | Sadeh et al. | Apr 2019 | A1 |
| 20190130132 | Barbas et al. | May 2019 | A1 |
| 20190132350 | Smith | May 2019 | A1 |
| 20190138496 | Yamaguchi | May 2019 | A1 |
| 20190139087 | Dabbs et al. | May 2019 | A1 |
| 20190148003 | Van Hoe | May 2019 | A1 |
| 20190156053 | Vogel et al. | May 2019 | A1 |
| 20190156058 | Van Dyne et al. | May 2019 | A1 |
| 20190171801 | Barday et al. | Jun 2019 | A1 |
| 20190179652 | Hesener et al. | Jun 2019 | A1 |
| 20190180051 | Barday et al. | Jun 2019 | A1 |
| 20190182294 | Rieke et al. | Jun 2019 | A1 |
| 20190188402 | Wang et al. | Jun 2019 | A1 |
| 20190266200 | Francolla | Aug 2019 | A1 |
| 20190266201 | Barday et al. | Aug 2019 | A1 |
| 20190266350 | Barday et al. | Aug 2019 | A1 |
| 20190268343 | Barday et al. | Aug 2019 | A1 |
| 20190268344 | Barday et al. | Aug 2019 | A1 |
| 20190272492 | Elledge et al. | Sep 2019 | A1 |
| 20190294818 | Barday et al. | Sep 2019 | A1 |
| 20190332802 | Barday et al. | Oct 2019 | A1 |
| 20190332807 | Lafever et al. | Oct 2019 | A1 |
| 20190333118 | Crimmins et al. | Oct 2019 | A1 |
| 20190354709 | Brinskelle | Nov 2019 | A1 |
| 20190356684 | Sinha et al. | Nov 2019 | A1 |
| 20190362169 | Lin et al. | Nov 2019 | A1 |
| 20190362268 | Fogarty et al. | Nov 2019 | A1 |
| 20190377901 | Balzer et al. | Dec 2019 | A1 |
| 20190378073 | Lopez et al. | Dec 2019 | A1 |
| 20190384934 | Kim | Dec 2019 | A1 |
| 20190392162 | Stern et al. | Dec 2019 | A1 |
| 20190392170 | Barday et al. | Dec 2019 | A1 |
| 20190392171 | Barday et al. | Dec 2019 | A1 |
| 20200020454 | McGarvey et al. | Jan 2020 | A1 |
| 20200050966 | Enuka et al. | Feb 2020 | A1 |
| 20200051117 | Mitchell | Feb 2020 | A1 |
| 20200057781 | McCormick | Feb 2020 | A1 |
| 20200074471 | Adjaoute | Mar 2020 | A1 |
| 20200081865 | Farrar et al. | Mar 2020 | A1 |
| 20200082270 | Gu et al. | Mar 2020 | A1 |
| 20200090197 | Rodriguez et al. | Mar 2020 | A1 |
| 20200092179 | Chieu et al. | Mar 2020 | A1 |
| 20200110589 | Bequet et al. | Apr 2020 | A1 |
| 20200110904 | Shinde et al. | Apr 2020 | A1 |
| 20200117737 | Gopalakrishnan et al. | Apr 2020 | A1 |
| 20200137097 | Zimmermann et al. | Apr 2020 | A1 |
| 20200143301 | Bowers | May 2020 | A1 |
| 20200143797 | Manoharan et al. | May 2020 | A1 |
| 20200159952 | Dain et al. | May 2020 | A1 |
| 20200159955 | Barlik et al. | May 2020 | A1 |
| 20200167653 | Manjunath et al. | May 2020 | A1 |
| 20200175424 | Kursun | Jun 2020 | A1 |
| 20200183655 | Barday et al. | Jun 2020 | A1 |
| 20200186355 | Davies | Jun 2020 | A1 |
| 20200193018 | Van Dyke | Jun 2020 | A1 |
| 20200193022 | Lunsford et al. | Jun 2020 | A1 |
| 20200210558 | Barday et al. | Jul 2020 | A1 |
| 20200210620 | Haletky | Jul 2020 | A1 |
| 20200211002 | Steinberg | Jul 2020 | A1 |
| 20200220901 | Barday et al. | Jul 2020 | A1 |
| 20200226156 | Borra et al. | Jul 2020 | A1 |
| 20200226196 | Brannon et al. | Jul 2020 | A1 |
| 20200242259 | Chirravuri et al. | Jul 2020 | A1 |
| 20200242719 | Lee | Jul 2020 | A1 |
| 20200250342 | Miller et al. | Aug 2020 | A1 |
| 20200252413 | Buzbee et al. | Aug 2020 | A1 |
| 20200252817 | Brouillette et al. | Aug 2020 | A1 |
| 20200272764 | Brannon et al. | Aug 2020 | A1 |
| 20200285755 | Kassoumeh et al. | Sep 2020 | A1 |
| 20200293679 | Handy Bosma et al. | Sep 2020 | A1 |
| 20200296171 | Mocanu et al. | Sep 2020 | A1 |
| 20200302089 | Barday et al. | Sep 2020 | A1 |
| 20200310917 | Tkachev et al. | Oct 2020 | A1 |
| 20200311310 | Barday et al. | Oct 2020 | A1 |
| 20200344243 | Brannon et al. | Oct 2020 | A1 |
| 20200356695 | Brannon et al. | Nov 2020 | A1 |
| 20200364369 | Brannon et al. | Nov 2020 | A1 |
| 20200372178 | Barday et al. | Nov 2020 | A1 |
| 20200394327 | Childress et al. | Dec 2020 | A1 |
| 20200401380 | Jacobs et al. | Dec 2020 | A1 |
| 20200401962 | Gottemukkala et al. | Dec 2020 | A1 |
| 20200410117 | Barday et al. | Dec 2020 | A1 |
| 20200410131 | Barday et al. | Dec 2020 | A1 |
| 20200410132 | Brannon et al. | Dec 2020 | A1 |
| 20210012341 | Garg et al. | Jan 2021 | A1 |
| 20210056569 | Silberman et al. | Feb 2021 | A1 |
| 20210081567 | Park et al. | Mar 2021 | A1 |
| 20210099449 | Frederick et al. | Apr 2021 | A1 |
| 20210110047 | Fang | Apr 2021 | A1 |
| 20210125089 | Nickl et al. | Apr 2021 | A1 |
| 20210152496 | Kim et al. | May 2021 | A1 |
| 20210233157 | Crutchfield, Jr. | Jul 2021 | A1 |
| 20210243595 | Buck et al. | Aug 2021 | A1 |
| 20210248247 | Poothokaran et al. | Aug 2021 | A1 |
| 20210256163 | Fleming et al. | Aug 2021 | A1 |
| 20210279360 | Gimenez Palop et al. | Sep 2021 | A1 |
| 20210297441 | Olalere | Sep 2021 | A1 |
| 20210303828 | Lafreniere et al. | Sep 2021 | A1 |
| 20210312061 | Schroeder et al. | Oct 2021 | A1 |
| 20210326786 | Sun et al. | Oct 2021 | A1 |
| 20210328969 | Gaddam et al. | Oct 2021 | A1 |
| 20210382949 | Yastrebenetsky et al. | Dec 2021 | A1 |
| 20210397735 | Samatov et al. | Dec 2021 | A1 |
| 20210400018 | Vettaikaran et al. | Dec 2021 | A1 |
| 20210406712 | Bhide et al. | Dec 2021 | A1 |
| 20220217045 | Blau et al. | Jul 2022 | A1 |
| Number | Date | Country |
|---|---|---|
| 111496802 | Aug 2020 | CN |
| 112115859 | Dec 2020 | CN |
| 1394698 | Mar 2004 | EP |
| 2031540 | Mar 2009 | EP |
| 20130062500 | Jun 2013 | KR |
| 2001033430 | May 2001 | WO |
| 20020067158 | Aug 2002 | WO |
| 20030050773 | Jun 2003 | WO |
| 2005008411 | Jan 2005 | WO |
| 2007002412 | Jan 2007 | WO |
| 2008134203 | Nov 2008 | WO |
| 2012174659 | Dec 2012 | WO |
| 2015116905 | Aug 2015 | WO |
| 2020146028 | Jul 2020 | WO |
| 2022006421 | Jan 2022 | WO |
| Entry |
|---|
| NPL Search Terms (Year: 2022). |
| Amar et al, “Privacy-Aware Infrastructure for Managing Personal Data,” ACM, pp. 571-572, Aug. 22-26, 2016 (Year: 2016). |
| Banerjee et al, “Link Before You Share: Managing Privacy Policies through Blockchain,” IEEE, pp. 4438-4447 (Year: 2017). |
| Civili et al, “Mastro Studio: Managing Ontology-Based Data Access Applications,” ACM, pp. 1314-1317, Aug. 26-30, 2013 (Year: 2013). |
| Degeling et al, “We Value Your Privacy . . . Now Take Some Cookies: Measuring the GDPRs Impact on Web Privacy,” arxiv.org, Cornell University Library, 201 Olin Library Cornell University, Ithaca, NY 14853, Aug. 15, 2018, pp. 1-15 (Year: 2019). |
| Geko et al, “An Ontology Capturing the Interdependence of the General Data Protection Regulation (GDPR) and Information Security,” ACM, pp. 1-6, Nov. 15-16, 2018 (Year: 2018). |
| International Search Report, dated Jan. 5, 2022, from corresponding International Application No. PCT/US2021/050497. |
| Lu, “How Machine Learning Mitigates Racial Bias in the US Housing Market,” Available as SSRN 3489519, pp. 1-73, Nov. 2019 (Year: 2019). |
| Notice of Allowance, dated Dec. 30, 2021, from corresponding U.S. Appl. No. 16/938,520. |
| Notice of Allowance, dated Jan. 11, 2022, from corresponding U.S. Appl. No. 17/371,350. |
| Notice of Allowance, dated Jan. 12, 2022, from corresponding U.S. Appl. No. 17/334,948. |
| Notice of Allowance, dated Jan. 12, 2022, from corresponding U.S. Appl. No. 17/463,775. |
| Notice of Allowance, dated Jan. 24, 2022, from corresponding U.S. Appl. No. 17/340,699. |
| Notice of Allowance, dated Jan. 26, 2022, from corresponding U.S. Appl. No. 17/491,906. |
| Notice of Allowance, dated Jan. 5, 2022, from corresponding U.S. Appl. No. 17/475,241. |
| Notice of Allowance, dated Jan. 6, 2022, from corresponding U.S. Appl. No. 17/407,765. |
| Notice of Allowance, dated Jan. 7, 2022, from corresponding U.S. Appl. No. 17/222,725. |
| Office Action, dated Dec. 30, 2021, from corresponding U.S. Appl. No. 17/149,421. |
| Office Action, dated Jan. 14, 2022, from corresponding U.S. Appl. No. 17/499,595. |
| Office Action, dated Jan. 21, 2022, from corresponding U.S. Appl. No. 17/499,624. |
| Office Action, dated Jan. 25, 2022, from corresponding U.S. Appl. No. 17/494,220. |
| Office Action, dated Jan. 4, 2022, from corresponding U.S. Appl. No. 17/480,377. |
| Office Action, dated Jan. 7, 2022, from corresponding U.S. Appl. No. 17/387,421. |
| Rakers, “Managing Professional and Personal Sensitive Information,” ACM, pp. 9-13, Oct. 24-27, 2010 (Year: 2010). |
| Sachinopoulou et al, “Ontology-Based Approach for Managing Personal Health and Wellness Information,” IEEE, pp. 1802-1805 (Year: 2007). |
| Shankar et al, “Doppleganger: Better Browser Privacy Without the Bother,” Proceedings of the 13th ACM Conference on Computer and Communications Security; [ACM Conference on Computer and Communications Security], New York, NY: ACM, US, Oct. 30, 2006, pp. 154-167 (Year: 2006). |
| Written Opinion of the International Searching Authority, dated Jan. 5, 2022, from corresponding International Application No. PCT/US2021/050497. |
| Yue et al, “An Automatic HTTP Cookie Management System,” Computer Networks, Elsevier, Amsterdam, NL, vol. 54, No. 13, Sep. 15, 2010, pp. 2182-2198 (Year: 2010). |
| Czeskis et al, “Lightweight Server Support for Browser-based CSRF Protection,” Proceedings of the 22nd International Conference on World Wide Web, 2013, pp. 273-284 (Year: 2013). |
| Final Office Action, dated Feb. 25, 2022, from corresponding U.S. Appl. No. 17/346,586. |
| Final Office Action, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/373,444. |
| Final Office Action, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/380,485. |
| Matte et al, “Do Cookie Banners Respect my Choice?: Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Framework,” 2020 IEEE Symposium on Security and Privacy (SP), 2020, pp. 791-809 (Year: 2020). |
| Notice of Allowance, dated Feb. 24, 2022, from corresponding U.S. Appl. No. 17/234,205. |
| Notice of Allowance, dated Feb. 24, 2022, from corresponding U.S. Appl. No. 17/549,170. |
| Notice of Allowance, dated Mar. 16, 2022, from corresponding U.S. Appl. No. 17/486,350. |
| Notice of Allowance, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 16/872,130. |
| Notice of Allowance, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/535,098. |
| Notice of Allowance, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/366,754. |
| Notice of Allowance, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/475,244. |
| Notice of Allowance, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/504,102. |
| Notice of Allowance, dated Mar. 28, 2022, from corresponding U.S. Appl. No. 17/499,609. |
| Notice of Allowance, dated Mar. 4, 2022, from corresponding U.S. Appl. No. 17/409,999. |
| Office Action, dated Mar. 1, 2022, from corresponding U.S. Appl. No. 17/119,080. |
| Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/020,275. |
| Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/161,159. |
| Office Action, dated Mar. 2, 2022, from corresponding U.S. Appl. No. 17/200,698. |
| Office Action, dated Mar. 21, 2022, from corresponding U.S. Appl. No. 17/571,871. |
| Office Action, dated Mar. 22, 2022, from corresponding U.S. Appl. No. 17/187,329. |
| Sanchez-Rola et al, “Can I Opt Out Yet?: GDPR and the Global Illusion of Cookie Control,” Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019, pp. 340-351 (Year: 2019). |
| Final Office Action, dated Feb. 8, 2021, from corresponding U.S. Appl. No. 16/927,658. |
| Friedman et al, “Data Mining with Differential Privacy,” ACM, Jul. 2010, pp. 493-502 (Year: 2010). |
| Notice of Allowance, dated Feb. 11, 2021, from corresponding U.S. Appl. No. 17/086,732. |
| Notice of Allowance, dated Feb. 19, 2021, from corresponding U.S. Appl. No. 16/832,451. |
| Notice of Allowance, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 16/827,039. |
| Notice of Allowance, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 17/068,558. |
| Notice of Allowance, dated Jan. 25, 2021, from corresponding U.S. Appl. No. 16/410,336. |
| Office Action, dated Feb. 10, 2021, from corresponding U.S. Appl. No. 16/862,944. |
| Office Action, dated Feb. 10, 2021, from corresponding U.S. Appl. No. 17/106,469. |
| Office Action, dated Feb. 17, 2021, from corresponding U.S. Appl. No. 16/862,948. |
| Office Action, dated Feb. 18, 2021, from corresponding U.S. Appl. No. 16/862,952. |
| Office Action, dated Feb. 2, 2021, from corresponding U.S. Appl. No. 17/101,915. |
| Office Action, dated Feb. 3, 2021, from corresponding U.S. Appl. No. 17/013,757. |
| Office Action, dated Feb. 8, 2021, from corresponding U.S. Appl. No. 17/139,650. |
| Office Action, dated Feb. 9, 2021, from corresponding U.S. Appl. No. 16/808,493. |
| Office Action, dated Jan. 22, 2021, from corresponding U.S. Appl. No. 17/099,270. |
| Office Action, dated Jan. 29, 2021, from corresponding U.S. Appl. No. 17/101,106. |
| Sukumar et al, “Review on Modern Data Preprocessing Techniques in Web Usage Mining (WUM),” IEEE, 2016, pp. 64-69 (Year: 2016). |
| Tanasa et al, “Advanced Data Preprocessing for Intersites Web Usage Mining,” IEEE, Mar. 2004, pp. 59-65 (Year: 2004). |
| Wu et al, “Data Mining with Big Data,” IEEE, Jan. 2014, pp. 97-107, vol. 26, No. 1, (Year: 2014). |
| Yang et al, “Mining Web Access Sequence with Improved Apriori Algorithm,” IEEE, 2017, pp. 780-784 (Year: 2017). |
| Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/034,355. |
| Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/068,198. |
| Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/101,106. |
| Notice of Allowance, dated Feb. 24, 2021, from corresponding U.S. Appl. No. 17/101,253. |
| Maa et al, “Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes,” Apr. 27, 2017, IEEE, vol. 65, issue 1, pp. 207-217 (Year: 2017). |
| Final Office Action, dated Dec. 7, 2020, from corresponding U.S. Appl. No. 16/862,956. |
| Gajare et al, “Improved Automatic Feature Selection Approach for Health Risk Prediction,” Feb. 16, 2018, IEEE, pp. 816 -819 (Year: 2018). |
| Horrall et al, “Evaluating Risk: IBM's Country Financial Risk and Treasury Risk Scorecards,” Jul. 21, 2014, IBM, vol. 58, issue 4, pp. 2:1-2:9 (Year: 2014). |
| Notice of Allowance, dated Dec. 15, 2020, from corresponding U.S. Appl. No. 16/989,086. |
| Notice of Allowance, dated Dec. 17, 2020, from corresponding U.S. Appl. No. 17/034,772. |
| Notice of Allowance, dated Dec. 23, 2020, from corresponding U.S. Appl. No. 17/068,557. |
| Notice of Allowance, dated Dec. 7, 2020, from corresponding U.S. Appl. No. 16/817,136. |
| Notice of Allowance, dated Dec. 9, 2020, from corresponding U.S. Appl. No. 16/404,491. |
| Notice of Allowance, dated Nov. 23, 2020, from corresponding U.S. Appl. No. 16/791,589. |
| Notice of Allowance, dated Nov. 24, 2020, from corresponding U.S. Appl. No. 17/027,019. |
| Notice of Allowance, dated Nov. 25, 2020, from corresponding U.S. Appl. No. 17/019,771. |
| Office Action, dated Dec. 16, 2020, from corresponding U.S. Appl. No. 17/020,275. |
| Office Action, dated Dec. 18, 2020, from corresponding U.S. Appl. No. 17/030,714. |
| Office Action, dated Dec. 24, 2020, from corresponding U.S. Appl. No. 17/068,454. |
| Office Action, dated Dec. 8, 2020, from corresponding U.S. Appl. No. 17/013,758. |
| Office Action, dated Dec. 8, 2020, from corresponding U.S. Appl. No. 17/068,198. |
| Office Action, dated Nov. 24, 2020, from corresponding U.S. Appl. No. 16/925,628. |
| Sedinic et al, “Security Risk Management in Complex Organization,” May 29, 2015, IEEE, pp. 1331-1337 (Year 2015). |
| Strode, et al, “Personal & SOHO Archiving,” Vienna University of Technology, Vienna, Austria, JCDL '08, Jun. 16-20, 2008, Pittsburgh, Pennsylvania, USA, pp. 115-123 (Year: 2008). |
| Notice of Allowance, dated Oct. 1, 2021, from corresponding U.S. Appl. No. 17/340,395. |
| Office Action, dated Oct. 12, 2021, from corresponding U.S. Appl. No. 17/346,509. |
| Restriction Requirement, dated Oct. 6, 2021, from corresponding U.S. Appl. No. 17/340,699. |
| Barr, “Amazon Rekognition Update—Estimated Age Range for Faces,” AWS News Blog, Feb. 10, 2017, pp. 1-5 (Year: 2017). |
| Everypixel Team, “A New Age Recognition API Detects the Age of People on Photos,” May 20, 2019, pp. 1-5 (Year: 2019). |
| Final Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/161,159. |
| Final Office Action, dated Sep. 17, 2021, from corresponding U.S. Appl. No. 17/200,698. |
| International Search Report, dated Sep. 15, 2021, from corresponding International Application No. PCT/US2021/033631. |
| Ma Ziang, et al, “LibRadar: Fast and Accurate Detection of Third-Party Libraries in Android Apps,” 2016 IEEE/ACM 38th IEEE International Conference on Software Engineering Companion (ICSE-C), ACM, May 14, 2016, pp. 653-656, DOI: http://dx.doi.org/10.1145/2889160.2889178, p. 653, r.col, par. 1-3; figure 3 (Year: 2016). |
| Mandal, et al, “Automated Age Prediction Using Wrinkles Features of Facial Images and Neural Network,” International Journal of Emerging Engineering Research and Technology, vol. 5, Issue 2, Feb. 2017, pp. 12-20 (Year: 2017). |
| Martin, et al, “Hidden Surveillance by Web Sites: Web Bugs in Contemporary Use,” Communications of the ACM, vol. 46, No. 12, Dec. 2003, pp. 258-264. Internet source https://doi.org/10.1145/953460.953509. (Year: 2003). |
| Notice of Allowance, dated Aug. 12, 2021, from corresponding U.S. Appl. No. 16/881,832. |
| Notice of Allowance, dated Aug. 31, 2021, from corresponding U.S. Appl. No. 17/326,901. |
| Notice of Allowance, dated Sep. 1, 2021, from corresponding U.S. Appl. No. 17/196,570. |
| Notice of Allowance, dated Sep. 1, 2021, from corresponding U.S. Appl. No. 17/222,556. |
| Notice of Allowance, dated Sep. 14, 2021, from corresponding U.S. Appl. No. 16/808,497. |
| Notice of Allowance, dated Sep. 23, 2021, from corresponding U.S. Appl. No. 17/068,454. |
| Notice of Allowance, dated Sep. 24, 2021, from corresponding U.S. Appl. No. 17/334,939. |
| Notice of Allowance, dated Sep. 27, 2021, from corresponding U.S. Appl. No. 17/222,523. |
| Notice of Allowance, dated Sep. 29, 2021, from corresponding U.S. Appl. No. 17/316,179. |
| Notice of Allowance, dated Sep. 9, 2021, from corresponding U.S. Appl. No. 17/334,909. |
| Office Action, dated Aug. 18, 2021, from corresponding U.S. Appl. No. 17/222,725. |
| Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/187,329. |
| Office Action, dated Aug. 27, 2021, from corresponding U.S. Appl. No. 17/334,948. |
| Office Action, dated Aug. 30, 2021, from corresponding U.S. Appl. No. 16/938,520. |
| Office Action, dated Sep. 15, 2021, from corresponding U.S. Appl. No. 16/623,157. |
| Office Action, dated Sep. 24, 2021, from corresponding U.S. Appl. No. 17/342,153. |
| Regulation (EU) 2016/679, “On the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation),” Official Journal of the European Union, May 4, 2016, pp. L 119/1-L 119/88 (Year: 2016). |
| Stack Overflow, “Is there a way to force a user to scroll to the bottom of a div?,” Stack Overflow, pp. 1-11, Nov. 2013. [Online]. Available: https://stackoverflow.com/questions/2745935/is-there-a-way-to-force-a-user-to-scroll-to-the-bottom-of-a-div (Year: 2013). |
| Tanwar, et al, “Live Forensics Analysis: Violations of Business Security Policy,” 2014 International Conference on Contemporary Computing and Informatics (IC31), 2014, pp. 971-976 (Year: 2014). |
| Written Opinion of the International Searching Authority, dated Sep. 15, 2021, from corresponding International Application No. PCT/US2021/033631. |
| Bjorn Greif, “Cookie Pop-up Blocker: Cliqz Automatically Denies Consent Requests,” Cliqz.com, pp. 1-9, Aug. 11, 2019 (Year: 2019). |
| Final Office Action, dated Dec. 10, 2021, from corresponding U.S. Appl. No. 17/187,329. |
| He et al, “A Crowdsourcing Framework for Detecting of Cross-Browser Issues in Web Application,” ACM, pp. 1-4, Nov. 6, 2015 (Year: 2015). |
| International Search Report, dated Dec. 22, 2021, from corresponding International Application No. PCT/US2021/051217. |
| Jones et al, “Al and the Ethics of Automating Consent,” IEEE, pp. 64-72, May 2018 (Year: 2018). |
| Liu et al, “A Novel Approach for Detecting Browser-based Silent Miner,” IEEE, pp. 490-497 (Year: 2018). |
| Lu et al, “An HTTP Flooding Detection Method Based on Browser Behavior,” IEEE, pp. 1151-1154 (Year: 2006). |
| Notice of Allowance, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 16/908,081. |
| Notice of Allowance, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 17/347,853. |
| Notice of Allowance, dated Dec. 2, 2021, from corresponding U.S. Appl. No. 16/901,654. |
| Notice of Allowance, dated Dec. 8, 2021, from corresponding U.S. Appl. No. 17/397,472. |
| Nouwens et al, “Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence,” ACM, pp. 1-13, Apr. 25, 2020 (Year: 2020). |
| Office Action, dated Dec. 13, 2021, from corresponding U.S. Appl. No. 17/476,209. |
| Office Action, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/395,759. |
| Office Action, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/499,582. |
| Office Action, dated Dec. 2, 2021, from corresponding U.S. Appl. No. 17/504,102. |
| Office Action, dated Dec. 27, 2021, from corresponding U.S. Appl. No. 17/493,332. |
| Office Action, dated Dec. 29, 2021, from corresponding U.S. Appl. No. 17/479,807. |
| Office Action, dated Dec. 7, 2021, from corresponding U.S. Appl. No. 17/499,609. |
| Paes, “Student Research Abstract: Automatic Detection of Cross-Browser Incompatibilities using Machine Learning and Screenshot Similarity,” ACM, pp. 697-698, Apr. 3, 2017 (Year: 2017). |
| Restriction Requirement, dated Dec. 17, 2021, from corresponding U.S. Appl. No. 17/475,244. |
| Shahriar et al, “A Model-Based Detection of Vulnerable and Malicious Browser Extensions,” IEEE, pp. 198-207 (Year: 2013). |
| Sjosten et al, “Discovering Browser Extensions via Web Accessible Resources,” ACM, pp. 329-336, Mar. 22, 2017 (Year: 2017). |
| Written Opinion of the International Searching Authority, dated Dec. 22, 2021, from corresponding International Application No. PCT/US2021/051217. |
| Final Office Action, dated Jul. 21, 2021, from corresponding U.S. Appl. No. 17/151,334. |
| Final Office Action, dated Jul. 7, 2021, from corresponding U.S. Appl. No. 17/149,421. |
| Hu, et al, “Attribute Considerations for Access Control Systems,” NIST Special Publication 800-205, Jun. 2019, pp. 1-42 (Year 2019). |
| Notice of Allowance, dated Jul. 19, 2021, from corresponding U.S. Appl. No. 17/306,252. |
| Notice of Allowance, dated Jul. 8, 2021, from corresponding U.S. Appl. No. 17/201,040. |
| Office Action, dated Jul. 13, 2021, from corresponding U.S. Appl. No. 17/306,496. |
| Office Action, dated Jul. 15, 2021, from corresponding U.S. Appl. No. 17/020,275. |
| Office Action, dated Jul. 19, 2021, from corresponding U.S. Appl. No. 17/316,179. |
| Office Action, dated Jul. 21, 2021, from corresponding U.S. Appl. No. 16/901,654. |
| Cha, et al, “Process-Oriented Approach for Validating Asset Value for Evaluating Information Security Risk,” IEEE, Aug. 31, 2009, pp. 379-385 (Year: 2009). |
| Cheng, Raymond, et al, “Radiatus: A Shared-Nothing Server-Side Web Architecture,” Proceedings of the Seventh ACM Symposium on Cloud Computing, Oct. 5, 2016, pp. 237-250 (Year: 2016). |
| Final Office Action, dated May 14, 2021, from corresponding U.S. Appl. No. 17/013,756. |
| Gilda, et al, “Blockchain for Student Data Privacy and Consent,” 2018 International Conference on Computer Communication and Informatics, Jan. 4-6, 2018, IEEE, pp. 1-5 (Year: 2018). |
| Huang, et al, “A Study on Information Security Management with Personal Data Protection,” IEEE, Dec. 9, 2011, pp. 624-630 (Year: 2011). |
| Liu, Yandong, et al, “Finding the Right Consumer: Optimizing for Conversion in Display Advertising Campaigns,” Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, Feb. 2, 2012, pp. 473-428 (Year: 2 012). |
| Luu, et al, “Combined Local and Holistic Facial Features for Age-Determination,” 2010 11th Int. Conf. Control, Automation, Robotics and Vision, Singapore, Dec. 7, 2010, IEEE, pp. 900-904 (Year: 2010). |
| Nishikawa, Taiji, English Translation of JP 2019154505, Aug. 27, 2019 (Year: 2019). |
| Notice of Allowance, dated May 13, 2021, from corresponding U.S. Appl. No. 17/101,915. |
| Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 16/808,493. |
| Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 16/865,874. |
| Notice of Allowance, dated May 26, 2021, from corresponding U.S. Appl. No. 17/199,514. |
| Notice of Allowance, dated May 27, 2021, from corresponding U.S. Appl. No. 16/927,658. |
| Notice of Allowance, dated May 27, 2021, from corresponding U.S. Appl. No. 17/198,757. |
| Notice of Allowance, dated May 28, 2021, from corresponding U.S. Appl. No. 16/862,944. |
| Notice of Allowance, dated May 7, 2021, from corresponding U.S. Appl. No. 17/194,662. |
| Office Action, dated May 18, 2021, from corresponding U.S. Appl. No. 17/196,570. |
| Pretorius, et al, “Attributing Users Based on Web Browser History,” 2017 IEEE Conference on Application, Information and Network Security (AINS), 2017, pp. 69-74 (Year: 2017). |
| Radu, et al, “Analyzing Risk Evaluation Frameworks and Risk Assessment Methods,” IEEE, Dec. 12, 2020, pp. 1-6 (Year 2020). |
| Bin, et al, “Research on Data Mining Models for the Internet of Things,” IEEE, pp. 1-6 (Year: 2010). |
| Borgida, “Description Logics in Data Management,” IEEE Transactions on Knowledge and Data Engineering, vol. 7, No. 5, Oct. 1995, pp. 671-682 (Year: 1995). |
| Final Office Action, dated Aug. 9, 2021, from corresponding U.S. Appl. No. 17/119,080. |
| Golab, et al, “Issues in Data Stream Management,” ACM, SIGMOD Record, vol. 32, No. 2, Jun. 2003, pp. 5-14 (Year: 2003). |
| Halevy, et al, “Schema Mediation in Peer Data Management Systems,” IEEE, Proceedings of the 19th International Conference on Data Engineering, 2003, pp. 505-516 (Year: 2003). |
| Jensen, et al, “Temporal Data Management,” IEEE Transactions on Knowledge and Data Engineering, vol. 11, No. 1, Jan./Feb. 1999, pp. 36-44 (Year: 1999). |
| Notice of Allowance, dated Aug. 4, 2021, from corresponding U.S. Appl. No. 16/895,278. |
| Notice of Allowance, dated Aug. 9, 2021, from corresponding U.S. Appl. No. 16/881,699. |
| Notice of Allowance, dated Jul. 26, 2021, from corresponding U.S. Appl. No. 17/151,399. |
| Notice of Allowance, dated Jul. 26, 2021, from corresponding U.S. Appl. No. 17/207,316. |
| Pearson, et al, “A Model-Based Privacy Compliance Checker,” IJEBR, vol. 5, No. 2, pp. 63-83, 2009, Nov. 21, 2008. [Online]. Available: http://dx.doi.org/10.4018/jebr.2009040104 (Year: 2008). |
| Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 16/862,948. |
| Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 16/862,952. |
| Notice of Allowance, dated Jun. 11, 2021, from corresponding U.S. Appl. No. 17/216,436. |
| Notice of Allowance, dated Jun. 2, 2021, from corresponding U.S. Appl. No. 17/198,581. |
| Notice of Allowance, dated Jun. 7, 2021, from corresponding U.S. Appl. No. 17/099,270. |
| Office Action, dated Jun. 24, 2021, from corresponding U.S. Appl. No. 17/234,205. |
| Office Action, dated Jun. 7, 2021, from corresponding U.S. Appl. No. 17/200,698. |
| Office Action, dated Jun. 9, 2021, from corresponding U.S. Appl. No. 17/222,523. |
| Restriction Requirement, dated Jun. 15, 2021, from corresponding U.S. Appl. No. 17/187,329. |
| Restriction Requirement, dated Jun. 15, 2021, from corresponding U.S. Appl. No. 17/222,556. |
| Restriction Requirement, dated Jun. 9, 2021, from corresponding U.S. Appl. No. 17/222,725. |
| Advisory Action, dated Jun. 19, 2020, from corresponding U.S. Appl. No. 16/595,342. |
| Liu et al, “Cross-Geography Scientific Data Transferring Trends and Behavior,” ACM, pp. 267-278 (Year: 2018). |
| Moscoso-Zea et al, “Datawarehouse Design for Educational Data Mining,” IEEE, pp. 1-6 (Year: 2016). |
| Newman et al, “High Speed Scientific Data Transfers using Software Defined Networking,” ACM, pp. 1-9 (Year: 2015). |
| Notice of Allowance, dated Jul. 14, 2020, from corresponding U.S. Appl. No. 16/701,043. |
| Notice of Allowance, dated Jul. 15, 2020, from corresponding U.S. Appl. No. 16/791,006. |
| Notice of Allowance, dated Jul. 16, 2020, from corresponding U.S. Appl. No. 16/901,979. |
| Notice of Allowance, dated Jul. 17, 2020, from corresponding U.S. Appl. No. 16/778,709. |
| Notice of Allowance, dated Jul. 21, 2020, from corresponding U.S. Appl. No. 16/557,392. |
| Notice of Allowance, dated Jun. 22, 2020, from corresponding U.S. Appl. No. 16/791,337. |
| Notice of Allowance, dated May 5, 2020, from corresponding U.S. Appl. No. 16/563,754. |
| Notice of Allowance, dated May 7, 2020, from corresponding U.S. Appl. No. 16/505,426. |
| O'Keefe et al, “Privacy-Preserving Data Linkage Protocols,” Proceedings of the 2004 ACM Workshop on Privacy in the Electronic Society, 2004, pp. 94-102 (Year: 2004). |
| Office Action, dated Apr. 20, 2020, from corresponding U.S. Appl. No. 16/812,795. |
| Office Action, dated Apr. 22, 2020, from corresponding U.S. Appl. No. 16/811,793. |
| Office Action, dated Apr. 28, 2020, from corresponding U.S. Appl. No. 16/798,818. |
| Office Action, dated Apr. 28, 2020, from corresponding U.S. Appl. No. 16/808,500. |
| Office Action, dated Apr. 29, 2020, from corresponding U.S. Appl. No. 16/791,337. |
| Office Action, dated May 5, 2020, from corresponding U.S. Appl. No. 16/410,336. |
| Porter, “De-Identified Data and Third Party Data Mining: The Risk of Re-Identification of Personal Information,” Shidler JL Com. & Tech. 5, 2008, pp. 1-9 (Year: 2008). |
| Restriction Requirement, dated May 5, 2020, from corresponding U.S. Appl. No. 16/808,489. |
| Thuraisingham, “Security Issues for the Semantic Web,” Proceedings 27th Annual International Computer Software and Applications Conference, COMPSAC 2003, Dallas, TX, USA, 2003, pp. 633-638 (Year: 2003). |
| Wang et al, “Revealing Key Non-Financial Factors for Online Credit-Scoring in E-Financing,” 2013, IEEE, pp. 1-6 (Year: 2013). |
| Wang et al, “Secure and Efficient Access to Outsourced Data,” ACM, pp. 55-65 (Year: 2009). |
| Office Action, dated May 14, 2020, from corresponding U.S. Appl. No. 16/808,497. |
| Office Action, dated May 14, 2020, from corresponding U.S. Appl. No. 16/808,503. |
| Office Action, dated May 15, 2020, from corresponding U.S. Appl. No. 16/808,493. |
| Notice of Allowance, dated May 19, 2020, from corresponding U.S. Appl. No. 16/505,430. |
| Notice of Allowance, dated May 19, 2020, from corresponding U.S. Appl. No. 16/808,496. |
| Advisory Action, dated Jun. 2, 2020, from corresponding U.S. Appl. No. 16/404,491. |
| Advisory Action, dated May 21, 2020, from corresponding U.S. Appl. No. 16/557,392. |
| Ahmad et al, “Task-Oriented Access Model for Secure Data Sharing Over Cloud,” ACM, pp. 1-7 (Year: 2015). |
| Carminati et al, “Enforcing Access Control Over Data Streams,” ACM, pp. 21-30 (Year: 2007). |
| Cha et al, “A Data-Driven Security Risk Assessment Scheme for Personal Data Protection,” IEEE, pp. 50510-50517 (Year: 2018). |
| Chowdhury et al, “Managing Data Transfers in Computer Clusters with Orchestra,” ACM, pp. 98-109 (Year: 2011). |
| Golfarelli et al, “Beyond Data Warehousing: What's Next in Business Intelligence?,” ACM, pp. 1-6 (Year: 2004). |
| Mesbah et al, “Crawling Ajax-Based Web Applications Through Dynamic Analysis of User Interface State Changes,” ACM Transactions on the Web (TWEB) vol. 6, No. 1, Article 3, Mar. 2012, pp. 1-30 (Year: 2012). |
| Notice of Allowance, dated Jun. 1, 2020, from corresponding U.S. Appl. No. 16/813,321. |
| Notice of Allowance, dated Jun. 16, 2020, from corresponding U.S. Appl. No. 16/798,818. |
| Notice of Allowance, dated Jun. 17, 2020, from corresponding U.S. Appl. No. 16/656,895. |
| Notice of Allowance, dated Jun. 8, 2020, from corresponding U.S. Appl. No. 16/712,104. |
| Notice of Allowance, dated May 20, 2020, from corresponding U.S. Appl. No. 16/707,762. |
| Notice of Allowance, dated May 27, 2020, from corresponding U.S. Appl. No. 16/820,208. |
| Notice of Allowance, dated May 28, 2020, from corresponding U.S. Appl. No. 16/799,279. |
| Office Action, dated Jun. 1, 2020, from corresponding U.S. Appl. No. 16/862,952. |
| Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/862,944. |
| Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/862,948. |
| Office Action, dated May 29, 2020, from corresponding U.S. Appl. No. 16/863,226. |
| Pechenizkiy et al, “Process Mining Online Assessment Data,” Educational Data Mining, pp. 279-288 (Year: 2009). |
| Ping et al, “Wide Area Placement of Data Replicas for Fast and Highly Available Data Access,” ACM, pp. 1-8 (Year: 2011). |
| Sanzo et al, “Analytical Modeling of Lock-Based Concurrency Control with Arbitrary Transaction Data Access Patterns,” ACM, pp. 69-78 (Year: 2010). |
| Srinivasan et al, “Descriptive Data Analysis of File Transfer Data,” ACM, pp. 1-8 (Year: 2014). |
| Tsai et al, “Determinants of Intangible Assets Value: The Data Mining Approach,” Knowledge Based System, pp. 67-77 http://www.elsevier.com/locate/knosys (Year: 2012). |
| Ye et al, “An Evolution-Based Cache Scheme for Scalable Mobile Data Access,” ACM, pp. 1-7 (Year: 2007). |
| Notice of Allowance, dated Aug. 26, 2019, from corresponding U.S. Appl. No. 16/443,374. |
| Notice of Allowance, dated Aug. 28, 2019, from corresponding U.S. Appl. No. 16/278,120. |
| Notice of Allowance, dated Aug. 30, 2018, from corresponding U.S. Appl. No. 15/996,208. |
| Notice of Allowance, dated Aug. 9, 2018, from corresponding U.S. Appl. No. 15/882,989. |
| Notice of Allowance, dated Dec. 10, 2018, from corresponding U.S. Appl. No. 16/105,602. |
| Notice of Allowance, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/278,122. |
| Notice of Allowance, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/593,634. |
| Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/169,643. |
| Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/619,212. |
| Notice of Allowance, dated Dec. 12, 2017, from corresponding U.S. Appl. No. 15/619,382. |
| Notice of Allowance, dated Dec. 13, 2019, from corresponding U.S. Appl. No. 16/512,033. |
| Notice of Allowance, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/505,461. |
| Notice of Allowance, dated Dec. 18, 2019, from corresponding U.S. Appl. No. 16/659,437. |
| Notice of Allowance, dated Dec. 23, 2019, from corresponding U.S. Appl. No. 16/656,835. |
| Notice of Allowance, dated Dec. 3, 2019, from corresponding U.S. Appl. No. 16/563,749. |
| Notice of Allowance, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 16/159,634. |
| Notice of Allowance, dated Dec. 31, 2019, from corresponding U.S. Appl. No. 16/404,399. |
| Notice of Allowance, dated Dec. 4, 2019, from corresponding U.S. Appl. No. 16/594,670. |
| Notice of Allowance, dated Dec. 5, 2017, from corresponding U.S. Appl. No. 15/633,703. |
| Notice of Allowance, dated Dec. 6, 2017, from corresponding U.S. Appl. No. 15/619,451. |
| Notice of Allowance, dated Dec. 6, 2017, from corresponding U.S. Appl. No. 15/619,459. |
| Notice of Allowance, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/565,261. |
| Notice of Allowance, dated Feb. 10, 2020, from corresponding U.S. Appl. No. 16/552,765. |
| Notice of Allowance, dated Feb. 12, 2020, from corresponding U.S. Appl. No. 16/572,182. |
| Notice of Allowance, dated Feb. 13, 2019, from corresponding U.S. Appl. No. 16/041,563. |
| Notice of Allowance, dated Feb. 14, 2019, from corresponding U.S. Appl. No. 16/226,272. |
| Notice of Allowance, dated Feb. 19, 2019, from corresponding U.S. Appl. No. 16/159,632. |
| Notice of Allowance, dated Feb. 25, 2020, from corresponding U.S. Appl. No. 16/714,355. |
| Notice of Allowance, dated Feb. 27, 2019, from corresponding U.S. Appl. No. 16/041,468. |
| Notice of Allowance, dated Feb. 27, 2019, from corresponding U.S. Appl. No. 16/226,290. |
| Notice of Allowance, dated Jan. 14, 2020, from corresponding U.S. Appl. No. 16/277,715. |
| Notice of Allowance, dated Jan. 18, 2018, from corresponding U.S. Appl. No. 15/619,478. |
| Notice of Allowance, dated Jan. 18, 2019 from corresponding U.S. Appl. No. 16/159,635. |
| Notice of Allowance, dated Jan. 2, 2020, from corresponding U.S. Appl. No. 16/410,296. |
| Notice of Allowance, dated Jan. 23, 2018, from corresponding U.S. Appl. No. 15/619,251. |
| Notice of Allowance, dated Jan. 26, 2018, from corresponding U.S. Appl. No. 15/619,469. |
| Notice of Allowance, dated Jan. 29, 2020, from corresponding U.S. Appl. No. 16/278,119. |
| Notice of Allowance, dated Jan. 8, 2020, from corresponding U.S. Appl. No. 16/600,879. |
| Notice of Allowance, dated Jul. 10, 2019, from corresponding U.S. Appl. No. 16/237,083. |
| Notice of Allowance, dated Jul. 10, 2019, from corresponding U.S. Appl. No. 16/403,358. |
| Notice of Allowance, dated Jul. 12, 2019, from corresponding U.S. Appl. No. 16/278,121. |
| Notice of Allowance, dated Jul. 17, 2019, from corresponding U.S. Appl. No. 16/055,961. |
| Notice of Allowance, dated Jul. 23, 2019, from corresponding U.S. Appl. No. 16/220,978. |
| Notice of Allowance, dated Jul. 26, 2019, from corresponding U.S. Appl. No. 16/409,673. |
| Notice of Allowance, dated Jul. 31, 2019, from corresponding U.S. Appl. No. 16/221,153. |
| Notice of Allowance, dated Jun. 12, 2019, from corresponding U.S. Appl. No. 16/278,123. |
| Notice of Allowance, dated Jun. 12, 2019, from corresponding U.S. Appl. No. 16/363,454. |
| Notice of Allowance, dated Jun. 18, 2019, from corresponding U.S. Appl. No. 16/410,566. |
| Notice of Allowance, dated Jun. 19, 2018, from corresponding U.S. Appl. No. 15/894,890. |
| Notice of Allowance, dated Jun. 19, 2019, from corresponding U.S. Appl. No. 16/042,673. |
| Ball, et al, “Aspects of the Computer-Based Patient Record,” Computers in Heathcare, Springer-Verlag New York Inc., pp. 1-23 (Year: 1992). |
| Final Office Action, dated Aug. 28, 2020, from corresponding U.S. Appl. No. 16/410,336. |
| Final Office Action, dated Sep. 8, 2020, from corresponding U.S. Appl. No. 16/410,866. |
| Notice of Allowance, dated Aug. 26, 2020, from corresponding U.S. Appl. No. 16/808,503. |
| Notice of Allowance, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/808,500. |
| Notice of Allowance, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/901,662. |
| Office Action, dated Aug. 20, 2020, from corresponding U.S. Appl. No. 16/817,136. |
| Office Action, dated Aug. 24, 2020, from corresponding U.S. Appl. No. 16/595,327. |
| Office Action, dated Sep. 4, 2020, from corresponding U.S. Appl. No. 16/989,086. |
| Notice of Allowance, dated Sep. 16, 2020, from corresponding U.S. Appl. No. 16/915,097. |
| Notice of Allowance, dated Sep. 17, 2020, from corresponding U.S. Appl. No. 16/863,226. |
| Restriction Requirement, dated Sep. 15, 2020, from corresponding U.S. Appl. No. 16/925,628. |
| Final Office Action, dated Sep. 21, 2020, from corresponding U.S. Appl. No. 16/808,493. |
| Final Office Action, dated Sep. 21, 2020, from corresponding U.S. Appl. No. 16/862,944. |
| Final Office Action, dated Sep. 22, 2020, from corresponding U.S. Appl. No. 16/808,497. |
| Hauch, et al, “Information Intelligence: Metadata for Information Discovery, Access, and Integration,” ACM, pp. 793-798 (Year: 2005). |
| Hernandez, et al, “Data Exchange with Data-Metadata Translations,” ACM, pp. 260-273 (Year: 2008). |
| Notice of Allowance, dated Sep. 18, 2020, from corresponding U.S. Appl. No. 16/812,795. |
| Singh, et al, “A Metadata Catalog Service for Data Intensive Applications,” ACM, pp. 1-17 (Year: 2003). |
| Slezak, et al, “Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries,” ACM, pp. 1337-1345 (Year: 2008). |
| Written Opinion of the International Searching Authority, dated Aug. 29, 2017, from corresponding International Application No. PCT/US2017/036898. |
| Written Opinion of the International Searching Authority, dated Dec. 14, 2018, from corresponding International Application No. PCT/US2018/045296. |
| Written Opinion of the International Searching Authority, dated Jan. 14, 2019, from corresponding International Application No. PCT/US2018/046949. |
| Written Opinion of the International Searching Authority, dated Jan. 7, 2019, from corresponding International Application No. PCT/US2018/055772. |
| Written Opinion of the International Searching Authority, dated Mar. 14, 2019, from corresponding International Application No. PCT/US2018/055736. |
| Written Opinion of the International Searching Authority, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055773. |
| Written Opinion of the International Searching Authority, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055774. |
| Written Opinion of the International Searching Authority, dated Nov. 19, 2018, from corresponding International Application No. PCT/US2018/046939. |
| Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043975. |
| Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043976. |
| Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043977. |
| Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/044026. |
| Written Opinion of the International Searching Authority, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/045240. |
| Written Opinion of the International Searching Authority, dated Oct. 12, 2017, from corresponding International Application No. PCT/US2017/036888. |
| Written Opinion of the International Searching Authority, dated Oct. 12, 2018, from corresponding International Application No. PCT/US2018/044046. |
| Written Opinion of the International Searching Authority, dated Oct. 16, 2018, from corresponding International Application No. PCT/US2018/045243. |
| Written Opinion of the International Searching Authority, dated Oct. 18, 2018, from corresponding International Application No. PCT/US2018/045249. |
| Written Opinion of the International Searching Authority, dated Oct. 20, 2017, from corresponding International Application No. PCT/US2017/036917. |
| Written Opinion of the International Searching Authority, dated Oct. 3, 2017, from corresponding International Application No. PCT/US2017/036912. |
| Written Opinion of the International Searching Authority, dated Sep. 1, 2017, from corresponding International Application No. PCT/US2017/036896. |
| Written Opinion of the International Searching Authority, dated Sep. 12, 2018, from corresponding International Application No. PCT/US2018/037504. |
| Kang et al, “DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems,” IEEE, pp. 1790-1801 (Year: 2013). |
| Yin et al, “Multibank Memory Optimization for Parallel Data Access in Multiple Data Arrays”, ACM, pp. 1-8 (Year: 2016). |
| Yiu et al, “Outsourced Similarity Search on Metric Data Assets”, IEEE, pp. 338-352 (Year: 2012). |
| Yu, “Using Data from Social Media Websites to Inspire the Design of Assistive Technology”, ACM, pp. 1-2 (Year: 2016). |
| Yu, et al, “Performance and Fairness Issues in Big Data Transfers,” ACM, pp. 9-11 (Year: 2014). |
| Zannone, et al, “Maintaining Privacy on Derived Objects,” ACM, pp. 10-19 (Year: 2005). |
| Zeldovich, Nickolai, et al, Making Information Flow Explicit in HiStar, OSDI '06: 7th USENIX Symposium on Operating Systems Design and Implementation, USENIX Association, p. 263-278. |
| Zhang et al, “Data Transfer Performance Issues for a Web Services Interface to Synchrotron Experiments”, ACM, pp. 59-65 (Year: 2007). |
| Zhang et al, “Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data”, ACM, pp. 1425-1434 (Year: 2015). |
| Zhu, et al, “Dynamic Data Integration Using Web Services,” IEEE, pp. 1-8 (Year: 2004). |
| Final Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/595,327. |
| Imran et al, “Searching in Cloud Object Storage by Using a Metadata Model”, IEEE, 2014, retrieved online on Apr. 1, 2020, pp. 121-128. Retrieved from the Internet: URL: https://ieeeexplore.ieee.org/stamp/stamp.jsp? (Year: 2014). |
| Notice of Allowance, dated Apr. 8, 2020, from corresponding U.S. Appl. No. 16/791,348. |
| Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/788,633. |
| Office Action, dated Apr. 7, 2020, from corresponding U.S. Appl. No. 16/791,589. |
| Notice of Allowance, dated Apr. 9, 2020, from corresponding U.S. Appl. No. 16/791,075. |
| Restriction Requirement, dated Apr. 13, 2020, from corresponding U.S. Appl. No. 16/817,136. |
| Agrawal et al, “Securing Electronic Health Records Without Impeding the Flow of Information,” International Journal of Medical Informatics 76, 2007, pp. 471-479 (Year: 2007). |
| Bang et al, “Building an Effective and Efficient Continuous Web Application Security Program,” 2016 International Conference on Cyber Security Situational Awareness, Data Analytics and Assessment (CyberSA), London, 2016, pp. 1-4 (Year: 2016). |
| Brandt et al, “Efficient Metadata Management in Large Distributed Storage Systems,” IEEE, pp. 1-9 (Year: 2003). |
| Chapados et al, “Scoring Models for Insurance Risk Sharing Pool Optimization,” 2008, IEEE, pp. 97-105 (Year: 2008). |
| Final Office Action, dated Apr. 23, 2020, from corresponding U.S. Appl. No. 16/572,347. |
| Gowadia et al, “RDF Metadata for XML Access Control,” ACM, pp. 31-48 (Year: 2003). |
| Notice of Allowance, dated Apr. 17, 2020, from corresponding U.S. Appl. No. 16/593,639. |
| Notice of Allowance, dated Apr. 29, 2020, from corresponding U.S. Appl. No. 16/700,049. |
| Notice of Allowance, dated Apr. 30, 2020, from corresponding U.S. Appl. No. 16/565,265. |
| Notice of Allowance, dated Apr. 30, 2020, from corresponding U.S. Appl. No. 16/820,346. |
| Notice of Allowance, dated May 1, 2020, from corresponding U.S. Appl. No. 16/586,202. |
| Notice of Allowance, dated May 11, 2020, from corresponding U.S. Appl. No. 16/786,196. |
| Aman et al, “Detecting Data Tampering Attacks in Synchrophasor Networks using Time Hopping,” IEEE, pp. 1-6 (Year 2016). |
| Bertino et al, “Towards Mechanisms for Detection and Prevention of Data Exfiltration by Insiders,” Mar. 22, 2011, ACM, pp. 10-19 (Year: 2011). |
| Bujlow et al, “Web Tracking: Mechanisms, Implications, and Defenses,” Proceedings of the IEEE, Aug. 1, 2017, vol. 5, No. 8, pp. 1476-1510 (Year: 2017). |
| Fan et al, “Intrusion Investigations with Data-hiding for Computer Log-file Forensics,” IEEE, pp. 1-6 (Year: 2010). |
| Final Office Action, dated Oct. 26, 2021, from corresponding U.S. Appl. No. 17/306,496. |
| Final Office Action, dated Oct. 28, 2021, from corresponding U.S. Appl. No. 17/234,205. |
| Final Office Action, dated Oct. 29, 2021, from corresponding U.S. Appl. No. 17/020,275. |
| Gonçalves et al., “The XML Log Standard for Digital Libraries: Analysis, Evolution, and Deployment,” IEEE, pp. 312-314 (Year: 2003). |
| International Search Report, dated Nov. 12, 2021, from corresponding International Application No. PCT/US2021/043481. |
| International Search Report, dated Novembers, 2021, from corresponding International Application No. PCT/US2021/040893. |
| International Search Report, dated Novembers, 2021, from corresponding International Application No. PCT/US2021/044910. |
| Ordanou et al, “Tracing Cross Border Web Tracking,” Oct. 31, 2018, pp. 329-342, ACM (Year: 2018). |
| Notice of Allowance, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/491,871. |
| Notice of Allowance, dated Nov. 22, 2021, from corresponding U.S. Appl. No. 17/383,889. |
| Notice of Allowance, dated Oct. 22, 2021, from corresponding U.S. Appl. No. 17/346,847. |
| Office Action, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/380,485. |
| Office Action, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/409,999. |
| Office Action, dated Nov. 12, 2021, from corresponding U.S. Appl. No. 17/346,586. |
| Office Action, dated Nov. 12, 2021, from corresponding U.S. Appl. No. 17/373,444. |
| Office Action, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/370,650. |
| Office Action, dated Nov. 16, 2021, from corresponding U.S. Appl. No. 17/486,350. |
| Office Action, dated Nov. 23, 2021, from corresponding U.S. Appl. No. 17/013,756. |
| Office Action, dated Nov. 26, 2021, from corresponding U.S. Appl. No. 16/925,550. |
| Office Action, dated Nov. 4, 2021, from corresponding U.S. Appl. No. 17/491,906. |
| Office Action, dated Nov, 23, 2021, from corresponding U.S. Appl. No. 16/872,130. |
| Office Action, dated Oct. 15, 2021, from corresponding U.S. Appl. No. 16/908,081. |
| Restriction Requirement, dated Nov. 10, 2021, from corresponding U.S. Appl. No. 17/366,754. |
| Roesner et al, “Detecting and Defending Against Third-Party Tracking on the Web,” 9th USENIX Symposium on Networked Systems Design and Implementation, Apr. 11, 2013, pp. 1-14, ACM (Year: 2013). |
| Van Eijk et al, “The Impact of User Location on Cookie Notices (Inside and Outside of the European Union,” IEEE Security & Privacy Workshop on Technology and Consumer Protection (CONPRO '19), Jan. 1, 2019 (Year: 2019). |
| Written Opinion of the International Searching Authority, dated Nov. 12, 2021, from corresponding International Application No. PCT/US2021/043481. |
| Written Opinion of the International Searching Authority, dated Nov. 3, 2021, from corresponding International Application No. PCT/US2021/040893. |
| Written Opinion of the International Searching Authority, dated Nov. 3, 2021, from corresponding International Application No. PCT/US2021/044910. |
| Final Office Action, dated Apr. 1, 2022, from corresponding U.S. Appl. No. 17/370,650. |
| Final Office Action, dated Apr. 5, 2022, from corresponding U.S. Appl. No. 17/013,756. |
| International Search Report, dated Apr. 12, 2022, from corresponding International Application No. PCT/US2022/016735. |
| International Search Report, dated Feb. 14, 2022, from corresponding International Application No. PCT/US2021/058274. |
| International Search Report, dated Mar. 18, 2022, from corresponding International Application No. PCT/US2022/013733. |
| Lewis, James et al, “Microservices,” Mar. 25, 2014 (Mar. 25, 2014),XP055907494, Retrieved from the Internet: https://martinfowler.com/articles/microservices.html [retrieved on Mar. 31, 2022]. |
| Notice of Allowance, dated Apr. 4, 2022, from corresponding U.S. Appl. No. 17/493,332. |
| Notice of Allowance, dated Apr. 4, 2022, from corresponding U.S. Appl. No. 17/572,298. |
| Notice of Allowance, dated Mar. 31, 2022, from corresponding U.S. Appl. No. 17/476,209. |
| Office Action, dated Apr. 8, 2022, from corresponding U.S. Appl. No. 16/938,509. |
| Written Opinion of the International Searching Authority, dated Apr. 12, 2022, from corresponding International Application No. PCT/US2022/016735. |
| Written Opinion of the International Searching Authority, dated Feb. 14, 2022, from corresponding International Application No. PCT/US2021/058274. |
| Written Opinion of the International Searching Authority, dated Mar. 18, 2022, from corresponding International Application No. PCT/US2022/013733. |
| Restriction Requirement, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/584,187. |
| Ali et al, “Age Estimation from Facial Images Using Biometric Ratios and Wrinkle Analysis,” IEEE, 2015, pp. 1-5 (Year: 2015). |
| Chang et al, “A Ranking Approach for Human Age Estimation Based on Face Images,” IEEE, 2010, pp. 3396-3399 (Year: 2010). |
| Edinger et al, “Age and Gender Estimation of Unfiltered Faces,” IEEE, 2014, pp. 2170-2179 (Year: 2014). |
| Final Office Action, dated Apr. 25, 2022, from corresponding U.S. Appl. No. 17/149,421. |
| Han et al, “Demographic Estimation from Face Images: Human vs. Machine Performance,” IEEE, 2015, pp. 1148-1161 (Year: 2015). |
| Huetner, “Digital Risk Management: Protecting Your Privacy, Improving Security, and Preparing for Emergencies,” IEEE, pp. 136-138 (Year: 2006). |
| Jayasinghe et al, “Matching Facial Images Using Age Related Morphing Changes,” ISSRI, 2009, pp. 2901-2907 (Year: 2009). |
| Khan et al, “Wrinkles Energy Based Age Estimation Using Discrete Cosine Transform,” IEEE, 2015, pp. 1-4 (Year 2015). |
| Kristian et al, “Human Facial Age Classification Using Active Shape Module, Geometrical Feature, and Support Vendor Machine on Early Growth Stage,” ISICO, 2015, pp. 1-8 (Year: 2015). |
| Liu et al, “Overview on Ontology Mapping and Approach,” IEEE, pp. 592-595 (Year: 2011). |
| Milic et al, “Comparative Analysis of Metadata Models on e-Government Open Data Platforms,” IEEE, pp. 119-130 (Year: 2021). |
| Notice of Allowance, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/479,807. |
| Notice of Allowance, dated Apr. 14, 2022, from corresponding U.S. Appl. No. 17/572,276. |
| Notice of Allowance, dated Apr. 20, 2022, from corresponding U.S. Appl. No. 17/573,808. |
| Notice of Allowance, dated Apr. 27, 2022, from corresponding U.S. Appl. No. 17/573,999. |
| Notice of Allowance, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 17/670,352. |
| Office Action, dated Apr. 12, 2022, from corresponding U.S. Appl. No. 17/670,341. |
| Office Action, dated Apr. 18, 2022, from corresponding U.S. Appl. No. 17/670,349. |
| Office Action, dated Apr. 25, 2022, from corresponding U.S. Appl. No. 17/588,645. |
| Office Action, dated Apr. 26, 2022, from corresponding U.S. Appl. No. 17/151,334. |
| Qu et al, “Metadata Type System: Integrate Presentation, Data Models and Extraction to Enable Exploratory Browsing nterfaces,” ACM, pp. 107-116 (Year: 2014). |
| Shulz et al, “Generative Data Models for Validation and Evaluation of Visualization Techniques,” ACM, pp. 1-13 (Year: 2016). |
| Final Office Action, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 16/925,550. |
| Notice of Allowance, dated Apr. 28, 2022, from corresponding U.S. Appl. No. 17/592,922. |
| Notice of Allowance, dated Apr. 29, 2022, from corresponding U.S. Appl. No. 17/387,421. |
| International Search Report, dated Feb. 11, 2022, from corresponding International Application No. PCT/US2021/053518. |
| Jiahao Chen et al. “Fairness Under Unawareness: Assessing Disparity when Protected Class is Unobserved,” arxiv.org, Cornell University Library, 201 Olin Library Cornell University, Ithaca, NY 14853, Nov. 27, 2018 (Nov. 27, 2018), Section 2, Figure 2. (Year 2018). |
| Notice of Allowance, dated Feb. 1, 2022, from corresponding U.S. Appl. No. 17/346,509. |
| Notice of Allowance, dated Feb. 14, 2022, from corresponding U.S. Appl. No. 16/623,157. |
| Notice of Allowance, dated Feb. 22, 2022, from corresponding U.S. Appl. No. 17/535,065. |
| Notice of Allowance, dated Feb. 4, 2022, from corresponding U.S. Appl. No. 17/520,272. |
| Notice of Allowance, dated Feb. 8, 2022, from corresponding U.S. Appl. No. 17/342,153. |
| Notice of Allowance, dated Jan. 31, 2022, from corresponding U.S. Appl. No. 17/472,948. |
| Office Action, dated Feb. 16, 2022, from corresponding U.S. Appl. No. 16/872,031. |
| Office Action, dated Feb. 9, 2022, from corresponding U.S. Appl. No. 17/543,546. |
| Office Action, dated Jan. 31, 2022, from corresponding U.S. Appl. No. 17/493,290. |
| Sarkar et al, “Towards Enforcement of the EU GDPR: Enabling Data Erasure,” 2018 IEEE Confs on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, Congress on Cybermatics, 2018, pp. 222-229, IEEE (Year: 2018). |
| Written Opinion of the International Searching Authority, dated Feb. 11, 2022, from corresponding International Application No. PCT/US2021/053518. |
| Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/808,493. |
| Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,944. |
| Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,948. |
| Advisory Action, dated Jan. 13, 2021, from corresponding U.S. Appl. No. 16/862,952. |
| Advisory Action, dated Jan. 6, 2021, from corresponding U.S. Appl. No. 16/808,497. |
| Notice of Allowance, dated Jan. 1, 2021, from corresponding U.S. Appl. No. 17/026,727. |
| Notice of Allowance, dated Jan. 15, 2021, from corresponding U.S. Appl. No. 17/030,714. |
| Notice of Allowance, dated Jan. 6, 2021, from corresponding U.S. Appl. No. 16/595,327. |
| Office Action, dated Jan. 4, 2021, from corresponding U.S. Appl. No. 17/013,756. |
| Notice of Allowance, dated Nov. 3, 2020, from corresponding U.S. Appl. No. 16/719,071. |
| Notice of Allowance, dated Nov. 9, 2020, from corresponding U.S. Appl. No. 16/595,342. |
| Notice of Allowance, dated Oct. 21, 2020, from corresponding U.S. Appl. No. 16/834,812. |
| Office Action, dated Nov. 12, 2020, from corresponding U.S. Appl. No. 17/034,355. |
| Office Action, dated Nov. 12, 2020, from corresponding U.S. Appl. No. 17/034,772. |
| Hunton & Williams LLP, The Role of Risk Management in Data Protection, Privacy Risk Framework and the Risk-based Approach to Privacy, Centre for Information Policy Leadership, Workshop II, Nov. 23, 2014. |
| Huo et al, “A Cloud Storage Architecture Model for Data-lntensive Applications,” IEEE, pp. 1-4 (Year: 2011). |
| IAPP, Daily Dashboard, PIA Tool Stocked With New Templates for DPI, Infosec, International Association of Privacy Professionals, Apr. 22, 2014. |
| IAPP, ISO/IEC 27001 Information Security Management Template, Resource Center, International Association of Privacy Professionals. |
| International Search Report, dated Dec. 14, 2018, from corresponding International Application No. PCT/US2018/045296. |
| International Search Report, dated Jan. 14, 2019, from corresponding International Application No. PCT/US2018/046949. |
| International Search Report, dated Jan. 7, 2019, from corresponding International Application No. PCT/US2018/055772. |
| International Search Report, dated Mar. 14, 2019, from corresponding International Application No. PCT/US2018/055736. |
| International Search Report, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055773. |
| International Search Report, dated Mar. 4, 2019, from corresponding International Application No. PCT/US2018/055774. |
| International Search Report, dated Nov. 19, 2018, from corresponding International Application No. PCT/US2018/046939. |
| International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043975. |
| International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043976. |
| International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/043977. |
| International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/044026. |
| International Search Report, dated Oct. 11, 2018, from corresponding International Application No. PCT/US2018/045240. |
| International Search Report, dated Oct. 12, 2017, from corresponding International Application No. PCT/US2017/036888. |
| International Search Report, dated Oct. 12, 2018, from corresponding International Application No. PCT/US2018/044046. |
| International Search Report, dated Oct. 16, 2018, from corresponding International Application No. PCT/US2018/045243. |
| International Search Report, dated Oct. 18, 2018, from corresponding International Application No. PCT/US2018/045249. |
| International Search Report, dated Oct. 20, 2017, from corresponding International Application No. PCT/US2017/036917. |
| International Search Report, dated Oct. 3, 2017, from corresponding International Application No. PCT/US2017/036912. |
| International Search Report, dated Sep. 12, 2018, from corresponding International Application No. PCT/US2018/037504. |
| Invitation to Pay Additional Search Fees, dated Jan. 18, 2019, from corresponding International Application No. PCT/US2018/055736. |
| Invitation to Pay Additional Search Fees, dated Jan. 7, 2019, from corresponding International Application No. PCT/US2018/055773. |
| Invitation to Pay Additional Search Fees, dated Jan. 8, 2019, from corresponding International Application No. PCT/US2018/055774. |
| Invitation to Pay Additional Search Fees, dated Oct. 23, 2018, from corresponding International Application No. PCT/US2018/045296. |
| Islam, et al, “Mixture Model Based Label Association Techniques for Web Accessibility,” ACM, pp. 67-76 (Year: 2010). |
| Joel Reardon et al, Secure Data Deletion from Persistent Media, ACM, Nov. 4, 2013, retrieved online on Jun. 13, 2019, pp. 271-283. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/2520000/2516699/p271-reardon.pdf? (Year: 2013). |
| Joonbakhsh et al, “Mining and Extraction of Personal Software Process measures through IDE Interaction logs,” ACM/IEEE, 2018, retrieved online on Dec. 2, 2019, pp. 78-81. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/3200000/3196462/p78-joonbakhsh.pdf? (Year: 2018). |
| Jun et al, “Scalable Multi-Access Flash Store for Big Data Analytics,” ACM, pp. 55-64 (Year: 2014). |
| Kirkam, et al, “A Personal Data Store for an Internet of Subjects,” IEEE, pp. 92-97 (Year: 2011). |
| Krol, Kat, et al, Control versus Effort in Privacy Warnings for Webforms, ACM, Oct. 24, 2016, pp. 13-23. |
| Lamb et al, “Role-Based Access Control for Data Service Integration”, ACM, pp. 3-11 (Year: 2006). |
| Lebeau, Franck, et al, “Model-Based Vulnerability Testing for Web Applications,” 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation Workshops, pp. 445-452, IEEE, 2013 (Year: 2013). |
| Li, Ninghui, et al, t-Closeness: Privacy Beyond k-Anonymity and I-Diversity, IEEE, 2014, p. 106-115. |
| Liu, Kun, et al, A Framework for Computing the Privacy Scores of Users in Online Social Networks, ACM Transactions on Knowledge Discovery from Data, vol. 5, No. 1, Article 6, Dec. 2010, 30 pages. |
| Lizar et al, “Usable Consents: Tracking and Managing Use of Personal Data with a Consent Transaction Receipt,” Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014, pp. 647-652 (Year: 2014). |
| Maret et al, “Multimedia Information Interchange: Web Forms Meet Data Servers”, IEEE, pp. 499-505 (Year: 1999). |
| McGarth et al, “Digital Library Technology for Locating and Accessing Scientific Data”, ACM, pp. 188-194 (Year: 1999). |
| Moiso et al, “Towards a User-Centric Personal Data Ecosystem the Role of the Bank of Individual's Data,” 2012 16th International Conference on Intelligence in Next Generation Networks, Berlin, 2012, pp. 202-209 (Year: 2012). |
| Mudepalli et al, “An efficient data retrieval approach using blowfish encryption on cloud CipherText Retrieval in Cloud Computing” IEEE, pp. 267-271 (Year: 2017). |
| Mundada et al, “Half-Baked Cookies: Hardening Cookie-Based Authentication for the Modem Web,” Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016, pp. 675-685 (Year: 2016). |
| Newman, “Email Archive Overviews using Subject Indexes”, ACM, pp. 652-653, 2002 (Year: 2002). |
| Notice of Allowance, dated Apr. 2, 2019, from corresponding U.S. Appl. No. 16/160,577. |
| Notice of Allowance, dated Apr. 25, 2018, from corresponding U.S. Appl. No. 15/883,041. |
| Notice of Allowance, dated Apr. 8, 2019, from corresponding U.S. Appl. No. 16/228,250. |
| Notice of Allowance, dated Aug. 14, 2018, from corresponding U.S. Appl. No. 15/989,416. |
| Notice of Allowance, dated Aug. 20, 2019, from corresponding U.S. Appl. No. 16/241,710. |
| Notice of Allowance, dated Aug. 24, 2018, from corresponding U.S. Appl. No. 15/619,479. |
| Ahmad, et al, “Performance of Resource Management Algorithms for Processable Bulk Data Transfer Tasks in Grid Environments,” ACM, pp. 177-188 (Year: 2008). |
| Final Office Action, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/791,589. |
| Final Office Action, dated Aug. 5, 2020, from corresponding U.S. Appl. No. 16/719,071. |
| Grolinger, et al, “Data Management in Cloud Environments: NoSQL and NewSQL Data Stores,” Journal of Cloud Computing: Advances, Systems and Applications, pp. 1-24 (Year: 2013). |
| Leadbetter, et al, “Where Big Data Meets Linked Data: Applying Standard Data Models to Environmental Data Streams,” IEEE, pp. 2929-2937 (Year: 2016). |
| Notice of Allowance, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/671,444. |
| Notice of Allowance, dated Aug. 10, 2020, from corresponding U.S. Appl. No. 16/788,633. |
| Notice of Allowance, dated Aug. 12, 2020, from corresponding U.S. Appl. No. 16/719,488. |
| Notice of Allowance, dated Aug. 7, 2020, from corresponding U.S. Appl. No. 16/901,973. |
| Office Action, dated Aug. 6, 2020, from corresponding U.S. Appl. No. 16/862,956. |
| Office Action, dated Jul. 24, 2020, from corresponding U.S. Appl. No. 16/404,491. |
| Office Action, dated Jul. 27, 2020, from corresponding U.S. Appl. No. 16/595,342. |
| Xu, et al, “GatorShare: A File System Framework for High-Throughput Data Management,” ACM, pp. 776-786 (Year: 2010). |
| Zheng, et al, “Methodologies for Cross-Domain Data Fusion: An Overview,” IEEE, pp. 16-34 (Year: 2015). |
| Abdullah et al, “The Mapping Process of Unstructured Data to the Structured Data”, ACM, pp. 151-155 (Year: 2013). |
| Acar, Gunes, et al, The Web Never Forgets, Computerand Communications Security, ACM, Nov. 3, 2014, pp. 674-689. |
| Aghasian, Erfan, et al, Scoring Users' Privacy Disclosure Across Multiple Online Social Networks,IEEE Access, Multidisciplinary Rapid Review Open Access Journal, Jul. 31, 2017, vol. 5, 2017. |
| Agosti et al, “Access and Exchange of Hierarchically Structured Resources on the Web with the NESTOR Framework”, IEEE, pp. 659-662 (Year: 2009). |
| Antunes et al, “Preserving Digital Data in Heterogeneous Environments”, ACM, pp. 345-348, 2009 (Year: 2009). |
| Avepoint, Automating Privacy Impact Assessments, AvePoint, Inc. |
| Avepoint, AvePoint Privacy Impact Assessment 1: User Guide, Cumulative Update 2, Revision E, Feb. 2015, AvePoint, Inc. |
| Avepoint, Installing and Configuring the APIA System, International Association of Privacy Professionals, AvePoint, Inc. |
| Barker, “Personalizing Access Control by Generalizing Access Control,” ACM, pp. 149-158 (Year: 2010). |
| Bayardo et al, “Technological Solutions for Protecting Privacy,” Computer 36.9 (2003), pp. 115-118, (Year: 2003). |
| Berezovskiy et al, “A framework for dynamic data source identification and orchestration on the Web”, ACM, pp. 1-8 (Year: 2010). |
| Bertino et al, “On Specifying Security Policies for Web Documents with an XML-based Language,” ACM, pp. 57-65 (Year: 2001). |
| Bhargav-Spantzel et al, Receipt Management- Transaction History based Trust Establishment, 2007, ACM, pp. 82-91. |
| Bhuvaneswaran et al, “Redundant Parallel Data Transfer Schemes for the Grid Environment”, ACM, pp. 18 (Year: 2006). |
| Binns, et al, “Data Havens, or Privacy Sans Fronti{hacek over (e)}res? A Study of International Personal Data Transfers,” ACM, pp. 273-274 (Year: 2002). |
| Byun, Ji-Won, Elisa Bertino, and Ninghui Li. “Purpose based access control of complex data for privacy protection.” Proceedings of the tenth ACM symposium on Access control models and technologies. ACM, 2005. (Year: 2005). |
| Carpineto et al, “Automatic Assessment of Website Compliance to the European Cookie Law with CooLCheck,” Proceedings of the 2016 ACM on Workshop on Privacy in the Electronic Society, 2016, pp. 135-138 (Year: 2016). |
| Cerpzone, “How to Access Data on Data Archival Storage and Recovery System”, https://www.saj.usace.army.mil/Portals/44/docs/Environmental/Lake%20O%20Watershed/15February2017/How%20To%20Access%20Model%20Data%20on%20DASR.pdf?ver=2017-02-16-095535-633, Feb. 16, 2017. |
| Choi et al, “Retrieval Effectiveness of Table of Contents and Subject Headings,” ACM, pp. 103-104 (Year: 2007). |
| Chowdhury et al, “A System Architecture for Subject-Centric Data Sharing”, ACM, pp. 1-10 (Year: 2018). |
| Decision Regarding Institution of Post-Grant Review in Case PGR2018-00056 for U.S. Pat. No. 9,691,090 B1, Oct. 11, 2018. |
| Dimou et al, “Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data Access and Retrieval”, ACM, pp. 145-152 (Year: 2015). |
| Dokholyan et al, “Regulatory and Ethical Considerations for Linking Clinical and Administrative Databases,” American Heart Journal 157.6 (2009), pp. 971-982 (Year: 2009). |
| Dunkel et al, “Data Organization and Access for Efficient Data Mining”, IEEE, pp. 522-529 (Year: 1999). |
| Dwork, Cynthia, Differential Privacy, Microsoft Research, p. 1-12. |
| Emerson, et al, “A Data Mining Driven Risk Profiling Method for Road Asset Management,” ACM, pp. 1267-1275 (Year: 2013). |
| Enck, William, et al, TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones, ACM Transactions on Computer Systems, vol. 32, No. 2, Article 5, Jun. 2014, p. 5:1-5:29. |
| Falahrastegar, Marjan, et al, Tracking Personal Identifiers Across the Web, Medical Image Computing and Computer-Assisted Intervention—Miccai 2015, 18th International Conference, Oct. 5, 2015, Munich, Germany. |
| Final Office Action, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/410,336. |
| Final Office Action, dated Feb. 19, 2020, from corresponding U.S. Appl. No. 16/404,491. |
| Final Office Action, dated Feb. 3, 2020, from corresponding U.S. Appl. No. 16/557,392. |
| Final Office Action, dated Jan. 17, 2018, from corresponding U.S. Appl. No. 15/619,278. |
| Final Office Action, dated Jan. 21, 2020, from corresponding U.S. Appl. No. 16/410,762. |
| Final Office Action, dated Jan. 23, 2018, from corresponding U.S. Appl. No. 15/619,479. |
| Final Office Action, dated Jan. 23, 2020, from corresponding U.S. Appl. No. 16/505,430. |
| Final Office Action, dated Mar. 5, 2019, from corresponding U.S. Appl. No. 16/055,961. |
| Final Office Action, dated Mar. 6, 2020, from corresponding U.S. Appl. No. 16/595,342. |
| Final Office Action, dated Nov. 29, 2017, from corresponding U.S. Appl. No. 15/619,237. |
| Final Office Action, dated Sep. 25, 2019, from corresponding U.S. Appl. No. 16/278,119. |
| Final Written Decision Regarding Post-Grant Review in Case PGR2018-00056 for U.S. Pat. No. 9,691,090 B1, Oct. 10, 2019. |
| Francis, Andre, Business Mathematics and Statistics, South-Western Cengage Learning, 2008, Sixth Edition. |
| Friedman et al, “Informed Consent in the Mozilla Browser: Implementing Value-Sensitive Design,” Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2002, IEEE, pp. 1-10 (Year: 2002). |
| Frikken, Keith B., et al, Yet Another Privacy Metric for Publishing Micro-data, Miami University, Oct. 27, 2008, p. 117-121. |
| Fung et al, “Discover Information and Knowledge from Websites using an Integrated Summarization and Visualization Framework”, IEEE, pp. 232-235 (Year: 2010). |
| Goni, Kyriaki, “Deletion Process_Only you can see my history: Investigating Digital Privacy, Digital Oblivion, and Control on Personal Data Through an Interactive Art Installation,” ACM, 2016, retrieved online on Oct. 3, 2019, pp. 324-333. Retrieved from the Internet URL: http://delivery.acm.org/10.1145/2920000/291. |
| Guo, et al, “OPAL: A Passe-partout for Web Forms,” ACM, pp. 353-356 (Year: 2012). |
| Gustarini, et al, “Evaluation of Challenges in Human Subject Studies “In-the-Wild” Using Subjects' Personal Smartphones,” ACM, pp. 1447-1456 (Year: 2013). |
| Hacigümüs, Hakan, et al, Executing SQL over Encrypted Data in the Database-Service-Provider Model, ACM, Jun. 1, 2002, pp. 216-227. |
| Hodge, et al, “Managing Virtual Data Marts with Metapointer Tables,” pp. 1-7 (Year: 2002). |
| Huner et al, “Towards a Maturity Model for Corporate Data Quality Management”, ACM, pp. 231-238, 2009 (Year: 2009). |
| Office Action, dated Nov. 1, 2017, from corresponding U.S. Appl. No. 15/169,658. |
| Office Action, dated Nov. 15, 2018, from corresponding U.S. Appl. No. 16/059,911. |
| Office Action, dated Nov. 15, 2019, from corresponding U.S. Appl. No. 16/552,758. |
| Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/560,885. |
| Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/560,889. |
| Office Action, dated Nov. 18, 2019, from corresponding U.S. Appl. No. 16/572,347. |
| Office Action, dated Nov. 19, 2019, from corresponding U.S. Appl. No. 16/595,342. |
| Office Action, dated Nov. 20, 2019, from corresponding U.S. Appl. No. 16/595,327. |
| Office Action, dated Nov. 23, 2018, from corresponding U.S. Appl. No. 16/042,673. |
| Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/041,563. |
| Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/055,083. |
| Office Action, dated Oct. 10, 2018, from corresponding U.S. Appl. No. 16/055,944. |
| Office Action, dated Oct. 15, 2018, from corresponding U.S. Appl. No. 16/054,780. |
| Office Action, dated Oct. 16, 2019, from corresponding U.S. Appl. No. 16/557,392. |
| Office Action, dated Oct. 23, 2018, from corresponding U.S. Appl. No. 16/055,961. |
| Office Action, dated Oct. 26, 2018, from corresponding U.S. Appl. No. 16/041,468. |
| Office Action, dated Oct. 8, 2019, from corresponding U.S. Appl. No. 16/552,765. |
| Office Action, dated Sep. 16, 2019, from corresponding U.S. Appl. No. 16/277,715. |
| Office Action, dated Sep. 22, 2017, from corresponding U.S. Appl. No. 15/619,278. |
| Office Action, dated Sep. 5, 2017, from corresponding U.S. Appl. No. 15/619,469. |
| Office Action, dated Sep. 6, 2017, from corresponding U.S. Appl. No. 15/619,479. |
| Office Action, dated Sep. 7, 2017, from corresponding U.S. Appl. No. 15/633,703. |
| Office Action, dated Sep. 8, 2017, from corresponding U.S. Appl. No. 15/619,251. |
| Olenski, Steve, For Consumers, Data Is a Matter of Trust, CMO Network, Apr. 18, 2016, https://www.forbes.com/sites/steveolenski/2016/04/18/for-consumers-data-is-a-matter-of-trust/#2e48496278b3. |
| Petition for Post-Grant Review of related U.S. Pat. No. 9,691,090 dated Mar. 27, 2018. |
| Petrie et al, “The Relationship between Accessibility and Usability of Websites”, ACM, pp. 397-406 (Year: 2007). |
| Pfeifle, Sam, The Privacy Advisor, IAPP and AvePoint Launch New Free PIA Tool, International Association of Privacy Professionals, Mar. 5, 2014. |
| Pfeifle, Sam, The Privacy Advisor, IAPP Heads to Singapore with APIA Template in Tow, International Association of Privacy Professionals, https://iapp.org/news/a/iapp-heads-to-singapore-with-apia-template_in_tow/, Mar. 28, 2014, pp. 1-3. |
| Popescu-Zeletin, “The Data Access and Transfer Support in a Local Heterogeneous Network (HMINET)”, IEEE, pp. 147-152 (Year: 1979). |
| Qing-Jiang et al, “The (P a, K) Anonymity Model for Privacy Protection of Personal Information in the Social Networks,” 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, vol. 2 IEEE, 2011, pp. 420-423 (Year: 2011). |
| Qiu, et al, “Design and Application of Data Integration Platform Based on Web Services and XML,” IEEE, pp. 253-256 (Year: 2016). |
| Restriction Requirement, dated Apr. 10, 2019, from corresponding U.S. Appl. No. 16/277,715. |
| Restriction Requirement, dated Apr. 24, 2019, from corresponding U.S. Appl. No. 16/278,122. |
| Restriction Requirement, dated Aug. 7, 2019, from corresponding U.S. Appl. No. 16/410,866. |
| Restriction Requirement, dated Aug. 9, 2019, from corresponding U.S. Appl. No. 16/404,399. |
| Restriction Requirement, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 15/169,668. |
| Restriction Requirement, dated Dec. 9, 2019, from corresponding U.S. Appl. No. 16/565,395. |
| Restriction Requirement, dated Nov. 15, 2019, from corresponding U.S. Appl. No. 16/586,202. |
| Restriction Requirement, dated Nov. 5, 2019, from corresponding U.S. Appl. No. 16/563,744. |
| Restriction Requirement, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 16/055,984. |
| Restriction Requirement, dated Sep. 9, 2019, from corresponding U.S. Appl. No. 16/505,426. |
| Rozepz, “What is Google Privacy Checkup? Everything You Need to Know,” Tom's Guide web post, Apr. 26, 2018, pp. 1-11 (Year: 2018). |
| Salim et al, “Data Retrieval and Security using Lightweight Directory Access Protocol”, IEEE, pp. 685-688 (Year: 2009). |
| Santhisree, et al, “Web Usage Data Clustering Using Dbscan Algorithm and Set Similarities,” IEEE, pp. 220-224 (Year: 2010). |
| Schwartz, Edward J., et al, 2010 IEEE Symposium on Security and Privacy: All You Ever Wanted to Know About Dynamic Analysis and forward Symbolic Execution (but might have been afraid to ask), Carnegie Mellon University, IEEE Computer Society, 2010, p. 317-331. |
| Srivastava, Agrima, et al, Measuring Privacy Leaks in Online Social Networks, International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013. |
| Stern, Joanna, “iPhone Privacy Is Broken . . . and Apps Are to Blame”, The Wall Street Journal, wsj.com, May 31, 2019. |
| The Cookie Collective, Optanon Cookie Policy Generator, The Cookie Collective, Year 2016, http://web.archive.org/web/20160324062743/https:/optanon.com/. |
| Tuomas Aura et al., Scanning Electronic Documents for Personally Identifiable Information, ACM, Oct. 30, 2006, retrieved online on Jun. 13, 2019, pp. 41-49. Retrieved from the Internet: URL: http://delivery.acm.org/10.1145/1180000/1179608/p41-aura.pdf? (Year: 2006). |
| Weaver et al, “Understanding Information Preview in Mobile Email Processing”, ACM, pp. 303-312, 2011 (Year: 2011). |
| Bieker, et al, “Privacy-Preserving Authentication Solutions—Best Practices for Implementation and EU Regulatory Perspectives,” Oct. 29, 2014, IEEE, pp. 1-10 (Year 2014). |
| Final Office Action, dated Apr. 27, 2021, from corresponding U.S. Appl. No. 17/068,454. |
| Final Office Action, dated Mar. 26, 2021, from corresponding U.S. Appl. No. 17/020,275. |
| Notice of Allowance, dated Apr. 19, 2021, from corresponding U.S. Appl. No. 17/164,029. |
| Notice of Allowance, dated Apr. 2, 2021, from corresponding U.S. Appl. No. 17/162,006. |
| Notice of Allowance, dated Apr. 22, 2021, from corresponding U.S. Appl. No. 17/163,701. |
| Notice of Allowance, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 17/135,445. |
| Notice of Allowance, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 17/181,828. |
| Notice of Allowance, dated Apr. 30, 2021, from corresponding U.S. Appl. No. 16/410,762. |
| Notice of Allowance, dated Mar. 19, 2021, from corresponding U.S. Appl. No. 17/013,757. |
| Notice of Allowance, dated Mar. 31, 2021, from corresponding U.S. Appl. No. 17/013,758. |
| Notice of Allowance, dated Mar. 31, 2021, from corresponding U.S. Appl. No. 17/162,205. |
| Office Action, dated Apr. 1, 2021, from corresponding U.S. Appl. No. 17/119,080. |
| Office Action, dated Apr. 15, 2021, from corresponding U.S. Appl. No. 17/161,159. |
| Office Action, dated Apr. 2, 2021, from corresponding U.S. Appl. No. 17/151,334. |
| Office Action, dated Apr. 28, 2021, from corresponding U.S. Appl. No. 16/808,497. |
| Office Action, dated Mar. 30, 2021, from corresponding U.S. Appl. No. 17/151,399. |
| Reardon et al, User-Level Secure Deletion on Log-Structured File Systems, ACM, 2012, retrieved online on Apr. 22, 2021, pp. 1-11. Retrieved from the Internet: URL: http://citeseerx.ist.psu.edu/viewdoc/download;isessionid=450713515DC7F19F8ED09AE961D4B60E. (Year: 2012). |
| Soceanu, et al, “Managing the Privacy and Security of eHealth Data,” May 29, 2015, IEEE, pp. 1-8 (Year: 2015). |
| Zheng, et al, “Toward Assured Data Deletion in Cloud Storage,” IEEE, vol. 34, No. 3, pp. 101-107 May/Jun. 2020 (Year: 2020). |
| Ghiglieri, Marco et al.; Personal DLP for Facebook, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (Percom Workshops); IEEE; Mar. 24, 2014; pp. 629-634. |
| International Search Report, dated Aug. 15, 2017, from corresponding International Application No. PCT/US2017/036919. |
| International Search Report, dated Aug. 21, 2017, from corresponding International Application No. PCT/US2017/036914. |
| International Search Report, dated Aug. 29, 2017, from corresponding International Application No. PCT/US2017/036898. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036889. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036890. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036893. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036901. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036913. |
| International Search Report, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036920. |
| International Search Report, dated Jun. 21, 2017, from corresponding International Application No. PCT/US2017/025600. |
| International Search Report, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025605. |
| International Search Report, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025611. |
| International Search Report, dated Sep. 1, 2017, from corresponding International Application No. PCT/US2017/036896. |
| Invitation to Pay Additional Search Fees, dated Aug. 10, 2017, from corresponding International Application No. PCT/US2017/036912. |
| Invitation to Pay Additional Search Fees, dated Aug. 10, 2017, from corresponding International Application No. PCT/US2017/036917. |
| Invitation to Pay Additional Search Fees, dated Aug. 24, 2017, from corresponding International Application No. PCT/US2017/036888. |
| Korba, Larry et al.; “Private Data Discovery for Privacy Compliance in Collaborative Environments”; Cooperative Design, Visualization, and Engineering; Springer Berlin Heidelberg; Sep. 21, 2008; pp. 142-150. |
| Notice of Allowance, dated Apr. 12, 2017, from corresponding U.S. Appl. No. 15/256,419. |
| Notice of Allowance, dated Aug. 18, 2017, from corresponding U.S. Appl. No. 15/619,455. |
| Notice of Allowance, dated May 5, 2017, from corresponding U.S. Appl. No. 15/254,901. |
| Office Action, dated Aug. 23, 2017, from corresponding U.S. Appl. No. 15/626,052. |
| Office Action, dated Aug. 24, 2017, from corresponding U.S. Appl. No. 15/169,643. |
| Office Action, dated Aug. 24, 2017, from corresponding U.S. Appl. No. 15/619,451. |
| Office Action, dated Aug. 29, 2017, from corresponding U.S. Appl. No. 15/619,237. |
| Office Action, dated Aug. 30, 2017, from corresponding U.S. Appl. No. 15/619,212. |
| Office Action, dated Aug. 30, 2017, from corresponding U.S. Appl. No. 15/619,382. |
| Office Action, dated Dec. 15, 2016, from corresponding U.S. Appl. No. 15/256,419. |
| Office Action, dated Jul. 21, 2017, from corresponding U.S. Appl. No. 15/256,430. |
| Office Action, dated Sep. 1, 2017, from corresponding U.S. Appl. No. 15/619,459. |
| Office Action, dated Sep. 11, 2017, from corresponding U.S. Appl. No. 15/619,375. |
| Office Action, dated Sep. 11, 2017, from corresponding U.S. Appl. No. 15/619,478. |
| Office Action, dated Sep. 19, 2017, from corresponding U.S. Appl. No. 15/671,073. |
| Restriction Requirement, dated Jan. 18, 2017, from corresponding U.S. Appl. No. 15/256,430. |
| Restriction Requirement, dated Jul. 28, 2017, from corresponding U.S. Appl. No. 15/169,658. |
| Restriction Requirement, dated Nov. 21, 2016, from corresponding U.S. Appl. No. 15/254,901. |
| Symantec, Symantex Data Loss Prevention—Discover, monitor, and protect confidential data; 2008; Symantec Corporation; http://www.mssuk.com/images/Symantec%2014552315_IRC_BR_DLP_03.09_sngl.pdf. |
| TRUSTe Announces General Availability of Assessment Manager for Enterprises to Streamline Data Privacy Management with Automation, PRNewswire, Mar. 4, 2015. |
| Written Opinion of the International Searching Authority, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025611. |
| Written Opinion of the International Searching Authority, dated Aug. 15, 2017, from corresponding International Application No. PCT/US2017/036919. |
| Written Opinion of the International Searching Authority, dated Aug. 21, 2017, from corresponding International Application No. PCT/US2017/036914. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036889. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036890. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036893. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036901. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036913. |
| Written Opinion of the International Searching Authority, dated Aug. 8, 2017, from corresponding International Application No. PCT/US2017/036920. |
| Written Opinion of the International Searching Authority, dated Jun. 21, 2017, from corresponding International Application No. PCT/US2017/025600. |
| Written Opinion of the International Searching Authority, dated Jun. 6, 2017, from corresponding International Application No. PCT/US2017/025605. |
| www.truste.com (1), Feb. 7, 20015, Internet Archive Wayback Machine, www.archive.org,2_7_2015. |
| Ardagna, et al, “A Privacy-Aware Access Control System,” Journal of Computer Security, 16:4, pp. 369-397 (Year 2008). |
| Hu, et al, “Guide to Attribute Based Access Control (ABAC) Definition and Considerations (Draft),” NIST Special Publication 800-162, pp. 1-54 (Year: 2013). |
| Notice of Allowance, dated Feb. 25, 2021, from corresponding U.S. Appl. No. 17/106,469. |
| Notice of Allowance, dated Feb. 26, 2021, from corresponding U.S. Appl. No. 17/139,650. |
| Notice of Allowance, dated Mar. 10, 2021, from corresponding U.S. Appl. No. 16/925,628. |
| Notice of Allowance, dated Mar. 10, 2021, from corresponding U.S. Appl. No. 17/128,666. |
| Notice of Allowance, dated Mar. 16, 2021, from corresponding U.S. Appl. No. 17/149,380. |
| Office Action, dated Mar. 15, 2021, from corresponding U.S. Appl. No. 17/149,421. |
| Choi et al, “A Survey on Ontology Mapping,” ACM, pp. 34-41 (Year: 2006). |
| Cui et al, “Domain Ontology Management Environment,” IEEE, pp. 1-9 (Year: 2000). |
| Falbo et al, “An Ontological Approach to Domain Engineering,” ACM, pp. 351-358 (Year: 2002). |
| Final Office Action, dated Jun. 10, 2022, from corresponding U.S. Appl. No. 17/161,159. |
| Final Office Action, dated Jun. 9, 2022, from corresponding U.S. Appl. No. 17/494,220. |
| International Search Report, dated Jun. 1, 2022, from corresponding International Application No. PCT/US2022/016930. |
| International Search Report, dated Jun. 22, 2022, from corresponding International Application No. PCT/US2022/019358. |
| International Search Report, dated Jun. 24, 2022, from corresponding International Application No. PCT/US2022/019882. |
| Nemec et al, “Assessment of Query Execution Performance Using Selected Business Intelligence Tools and Experimental Agile Oriented Data Modeling Approach,” Sep. 16, 2015, IEEE, pp. 1327-1333. (Year: 2015). |
| Notice of Allowance, dated Jun. 14, 2022, from corresponding U.S. Appl. No. 17/679,734. |
| Notice of Allowance, dated Jun. 16, 2022, from corresponding U.S. Appl. No. 17/119,080. |
| Notice of Allowance, dated Jun. 2, 2022, from corresponding U.S. Appl. No. 17/493,290. |
| Notice of Allowance, dated Jun. 23, 2022, from corresponding U.S. Appl. No. 17/588,645. |
| Notice of Allowance, dated Jun. 8, 2022, from corresponding U.S. Appl. No. 17/722,551. |
| Notice of Allowance, dated May 27, 2022, from corresponding U.S. Appl. No. 17/543,546. |
| Notice of Allowance, dated May 31, 2022, from corresponding U.S. Appl. No. 17/679,715. |
| Office Action, dated Jun. 1, 2022, from corresponding U.S. Appl. No. 17/306,496. |
| Office Action, dated Jun. 14, 2022, from corresponding U.S. Appl. No. 17/346,586. |
| Office Action, dated Jun. 16, 2022, from corresponding U.S. Appl. No. 17/689,683. |
| Ozdikis et al, “Tool Support for Transformation from an OWL Ontology to an HLA Object Model,” ACM, pp. 1-6 (Year: 2010). |
| Vukovic et al, “Managing Enterprise IT Systems Using Online Communities,” Jul. 9, 2011, IEEE, pp. 552-559. (Year: 2011). |
| Wong et al, “Ontology Mapping for the Interoperability Problem in Network Management,” IEEE, pp. 2058-2068 (Year: 2005). |
| Written Opinion of the International Searching Authority, dated Jun. 1, 2022, from corresponding International Application No. PCT/US2072/016930. |
| Written Opinion of the International Searching Authority, dated Jun. 22, 2022, from corresponding International Application No. PCT/US2022/019358. |
| Written Opinion of the International Searching Authority, dated Jun. 24, 2022, from corresponding International Application No. PCT/US2022/019882. |
| Bansal et al, “Integrating Big Data: A Semantic Extract-Transform-Load Framework,” IEEE, pp. 42-50 (Year: 2015). |
| Bao et al, “Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, No. 9, Sep. 2019, pp. 2101-2116 (Year: 2019). |
| Bindschaedler et al, “Privacy Through Fake Yet Semantically Real Traces,” arxiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, May 27, 2015 (Year: 2015). |
| Castro et al, “Creating Lightweight Ontologies for Dataset Description,” IEEE, pp. 1-4 (Year: 2014). |
| Ex Parte Quayle Action, dated May 10, 2022, from corresponding U.S. Appl. No. 17/668,714. |
| Final Office Action, dated May 12, 2022, from corresponding U.S. Appl. No. 17/499,624. |
| Final Office Action, dated May 16, 2022, from corresponding U.S. Appl. No. 17/480,377. |
| Final Office Action, dated May 2, 2022, from corresponding U.S. Appl. No. 17/499,595. |
| Final Office Action, dated May 24, 2022, from corresponding U.S. Appl. No. 17/499,582. |
| International Search Report, dated May 12, 2022, from corresponding International Application No. PCT/US2022/015929. |
| International Search Report, dated May 17, 2022, from corresponding International Application No. PCT/US2022/015241. |
| International Search Report, dated May 19, 2022, from corresponding International Application No. PCT/US2022/015637. |
| Lasierra et al, “Data Management in Home Scenarios Using an Autonomic Ontology-Based Approach,” IEEE, pp. 94-99 (Year: 2012). |
| Lenzerini et al, “Ontology-based Data Management,” ACM, pp. 5-6 (Year: 2011). |
| Niu, et al, “Achieving Data Truthfulness and Privacy Preservation in Data Markets”, IEEE Transactions on Knowledge and Data Engineering, IEEE Service Centre, Los Alamitos, CA, US, vol. 31, No. 1, Jan. 1, 2019, pp. 105-119 (Year: 2019). |
| Notice of Allowance, dated May 11, 2022, from corresponding U.S. Appl. No. 17/395,759. |
| Notice of Allowance, dated May 18, 2022, from corresponding U.S. Appl. No. 17/670,354. |
| Notice of Allowance, dated May 25, 2022, from corresponding U.S. Appl. No. 16/872,031. |
| Notice of Allowance, dated May 6, 2022, from corresponding U.S. Appl. No. 17/666,886. |
| Office Action, dated May 12, 2022, from corresponding U.S. Appl. No. 17/509,974. |
| Office Action, dated May 16, 2022, from corresponding U.S. Appl. No. 17/679,750. |
| Office Action, dated May 24, 2022, from corresponding U.S. Appl. No. 17/674,187. |
| Preuveneers et al, “Access Control with Delegated Authorization Policy Evaluation for Data-Driven Microservice Workflows,” Future Internet 2017, MDPI, pp. 1-21 (Year: 2017). |
| Thomas et al, “MooM—A Prototype Framework for Management of Ontology Mappings,” IEEE, pp. 548-555 (Year: 2011). |
| Written Opinion of the International Searching Authority, dated May 12, 2022, from corresponding International Application No. PCT/US2022/015929. |
| Written Opinion of the International Searching Authority, dated May 17, 2022, from corresponding International Application No. PCT/US2022/015241. |
| Written Opinion of the International Searching Authority, dated May 19, 2022, from corresponding International Application No. PCT/US2022/015637. |
| Notice of Allowance, dated Jun. 19, 2019, from corresponding U.S. Appl. No. 16/055,984. |
| Notice of Allowance, dated Jun. 21, 2019, from corresponding U.S. Appl. No. 16/404,439. |
| Notice of Allowance, dated Jun. 27, 2018, from corresponding U.S. Appl. No. 15/882,989. |
| Notice of Allowance, dated Jun. 4, 2019, from corresponding U.S. Appl. No. 16/159,566. |
| Notice of Allowance, dated Jun. 5, 2019, from corresponding U.S. Appl. No. 16/220,899. |
| Notice of Allowance, dated Jun. 5, 2019, from corresponding U.S. Appl. No. 16/357,260. |
| Notice of Allowance, dated Jun. 6, 2018, from corresponding U.S. Appl. No. 15/875,570. |
| Notice of Allowance, dated Jun. 6, 2019, from corresponding U.S. Appl. No. 16/159,628. |
| Notice of Allowance, dated Mar. 1, 2018, from corresponding U.S. Appl. No. 15/853,674. |
| Notice of Allowance, dated Mar. 1, 2019, from corresponding U.S. Appl. No. 16/059,911. |
| Notice of Allowance, dated Mar. 13, 2019, from corresponding U.S. Appl. No. 16/055,083. |
| Notice of Allowance, dated Mar. 14, 2019, from corresponding U.S. Appl. No. 16/055,944. |
| Notice of Allowance, dated Mar. 16, 2020, from corresponding U.S. Appl. No. 16/778,704. |
| Notice of Allowance, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/560,885. |
| Notice of Allowance, dated Mar. 18, 2020, from corresponding U.S. Appl. No. 16/560,963. |
| Notice of Allowance, dated Mar. 2, 2018, from corresponding U.S. Appl. No. 15/858,802. |
| Notice of Allowance, dated Mar. 24, 2020, from corresponding U.S. Appl. No. 16/552,758. |
| Notice of Allowance, dated Mar. 25, 2019, from corresponding U.S. Appl. No. 16/054,780. |
| Notice of Allowance, dated Mar. 26, 2020, from corresponding U.S. Appl. No. 16/560,889. |
| Notice of Allowance, dated Mar. 26, 2020, from corresponding U.S. Appl. No. 16/578,712. |
| Notice of Allowance, dated Mar. 27, 2019, from corresponding U.S. Appl. No. 16/226,280. |
| Notice of Allowance, dated Mar. 29, 2019, from corresponding U.S. Appl. No. 16/055,998. |
| Notice of Allowance, dated Mar. 31, 2020, from corresponding U.S. Appl. No. 16/563,744. |
| Notice of Allowance, dated May 21, 2018, from corresponding U.S. Appl. No. 15/896,790. |
| Notice of Allowance, dated May 28, 2019, from corresponding U.S. Appl. No. 16/277,568. |
| Notice of Allowance, dated Nov. 14, 2019, from corresponding U.S. Appl. No. 16/436,616. |
| Notice of Allowance, dated Nov. 2, 2018, from corresponding U.S. Appl. No. 16/054,762. |
| Notice of Allowance, dated Nov. 26, 2019, from corresponding U.S. Appl. No. 16/563,735. |
| Notice of Allowance, dated Nov. 27, 2019, from corresponding U.S. Appl. No. 16/570,712. |
| Notice of Allowance, dated Nov. 27, 2019, from corresponding U.S. Appl. No. 16/577,634. |
| Notice of Allowance, dated Nov. 5, 2019, from corresponding U.S. Appl. No. 16/560,965. |
| Notice of Allowance, dated Nov. 7, 2017, from corresponding U.S. Appl. No. 15/671,073. |
| Notice of Allowance, dated Nov. 8, 2018, from corresponding U.S. Appl. No. 16/042,642. |
| Notice of Allowance, dated Oct. 10, 2019, from corresponding U.S. Appl. No. 16/277,539. |
| Notice of Allowance, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 15/896,790. |
| Notice of Allowance, dated Oct. 17, 2018, from corresponding U.S. Appl. No. 16/054,672. |
| Notice of Allowance, dated Oct. 17, 2019, from corresponding U.S. Appl. No. 16/563,741. |
| Notice of Allowance, dated Oct. 21, 2019, from corresponding U.S. Appl. No. 16/404,405. |
| Notice of Allowance, dated Oct. 3, 2019, from corresponding U.S. Appl. No. 16/511,700. |
| Notice of Allowance, dated Sep. 12, 2019, from corresponding U.S. Appl. No. 16/512,011. |
| Notice of Allowance, dated Sep. 13, 2018, from corresponding U.S. Appl. No. 15/894,809. |
| Notice of Allowance, dated Sep. 13, 2018, from corresponding U.S. Appl. No. 15/894,890. |
| Notice of Allowance, dated Sep. 18, 2018, from corresponding U.S. Appl. No. 15/,894,819. |
| Notice of Allowance, dated Sep. 18, 2018, from corresponding U.S. Appl. No. 16/041,545. |
| Notice of Allowance, dated Sep. 27, 2017, from corresponding U.S. Appl. No. 15/626,052. |
| Notice of Allowance, dated Sep. 28, 2018, from corresponding U.S. Appl. No. 16/041,520. |
| Notice of Allowance, dated Sep. 4, 2018, from corresponding U.S. Appl. No. 15/883,041. |
| Notice of Filing Date for Petition for Post-Grant Review of related U.S. Pat. No. 9,691,090 dated Apr. 12, 2018. |
| Office Action, dated Apr. 18, 2018, from corresponding U.S. Appl. No. 15/894,819. |
| Office Action, dated Apr. 22, 2019, from corresponding U.S. Appl. No. 16/241,710. |
| Final Office Action, dated Sep. 19, 2022, from corresponding U.S. Appl. No. 17/306,496. |
| Notice of Allowance, dated Aug. 22, 2022, from corresponding U.S. Appl. No. 17/499,595. |
| Notice of Allowance, dated Sep. 12, 2022, from corresponding U.S. Appl. No. 17/674,187. |
| Notice of Allowance, dated Sep. 2, 2022, from corresponding U.S. Appl. No. 17/380,485. |
| Office Action, dated Jul. 28, 2022, from conresponding U.S. Appl. No. 16/925,550. |
| Office Action, dated Jul. 7, 2022, from corresponding U.S. Appl. No. 17/370,650. |
| Office Action, dated Sep. 2, 2022, from corresponding U.S. Appl. No. 17/499,624. |
| Final Office Action, dated Sep. 23, 2020, from corresponding U.S. Appl. No. 16/862,948. |
| Final Office Action, dated Sep. 24, 2020, from corresponding U.S. Appl. No. 16/862,952. |
| Final Office Action, dated Sep. 28, 2020, from corresponding U.S. Appl. No. 16/565,395. |
| Hinde, “A Model to Assess Organisational Information Privacy Maturity Against the Protection of Personal Information Act” Dissertation University of Cape Town 2014, pp. 1-121 (Year: 2014). |
| Notice of Allowance, dated Sep. 23, 2020, from corresponding U.S. Appl. No. 16/811,793. |
| Notice of Allowance, dated Sep. 25, 2020, from corresponding U.S. Appl. No. 16/983,536. |
| Office Action, dated Oct. 14, 2020, from corresponding U.S. Appl. No. 16/927,658. |
| Office Action, dated Oct. 16, 2020, from corresponding U.S. Appl. No. 16/808,489. |
| Office Action, dated Apr. 5, 2019, from corresponding U.S. Appl. No. 16/278,119. |
| Office Action, dated Aug. 13, 2019, from corresponding U.S. Appl. No. 16/505,430. |
| Office Action, dated Aug. 13, 2019, from corresponding U.S. Appl. No. 16/512,033. |
| Office Action, dated Aug. 15, 2019, from corresponding U.S. Appl. No. 16/505,461. |
| Office Action, dated Aug. 19, 2019, from corresponding U.S. Appl. No. 16/278,122. |
| Office Action, dated Aug. 27, 2019, from corresponding U.S. Appl. No. 16/410,296. |
| Office Action, dated Aug. 6, 2019, from corresponding U.S. Appl. No. 16/404,491. |
| Office Action, dated Dec. 11, 2019, from corresponding U.S. Appl. No. 16/578,712. |
| Office Action, dated Dec. 14, 2018, from corresponding U.S. Appl. No. 16/104,393. |
| Office Action, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/563,754. |
| Office Action, dated Dec. 16, 2019, from corresponding U.S. Appl. No. 16/565,265. |
| Office Action, dated Dec. 19, 2019, from corresponding U.S. Appl. No. 16/410,866. |
| Office Action, dated Dec. 2, 2019, from corresponding U.S. Appl. No. 16/560,963. |
| Office Action, dated Dec. 23, 2019, from corresponding U.S. Appl. No. 16/593,639. |
| Office Action, dated Dec. 3, 2018, from corresponding U.S. Appl. No. 16/055,998. |
| Office Action, dated Dec. 31, 2018, from corresponding U.S. Appl. No. 16/160,577. |
| Office Action, dated Feb. 15, 2019, from corresponding U.S. Appl. No. 16/220,899. |
| Office Action, dated Feb. 26, 2019, from corresponding U.S. Appl. No. 16/228,250. |
| Office Action, dated Feb. 5, 2020, from corresponding U.S. Appl. No. 16/586,202. |
| Office Action, dated Feb. 6, 2020, from corresponding U.S. Appl. No. 16/707,762. |
| Office Action, dated Jan. 18, 2019, from corresponding U.S. Appl. No. 16/055,984. |
| Office Action, dated Jan. 24, 2020, from corresponding U.S. Appl. No. 16/505,426. |
| Office Action, dated Jan. 24, 2020, from corresponding U.S. Appl. No. 16/700,049. |
| Office Action, dated Jan. 27, 2020, from corresponding U.S. Appl. No. 16/656,895. |
| Office Action, dated Jan. 28, 2020, from corresponding U.S. Appl. No. 16/712,104. |
| Office Action, dated Jan. 4, 2019, from corresponding U.S. Appl. No. 16/159,566. |
| Office Action, dated Jan. 4, 2019, from corresponding U.S. Appl. No. 16/159,628. |
| Office Action, dated Jan. 7, 2020, from corresponding U.S. Appl. No. 16/572,182. |
| Office Action, dated Jul. 18, 2019, from corresponding U.S. Appl. No. 16/410,762. |
| Office Action, dated Jul. 23, 2019, from corresponding U.S. Appl. No. 16/436,616. |
| Office Action, dated Jun. 24, 2019, from corresponding U.S. Appl. No. 16/410,336. |
| Office Action, dated Jun. 27, 2019, from corresponding U.S. Appl. No. 16/404,405. |
| Office Action, dated Mar. 11, 2019, from corresponding U.S. Appl. No. 16/220,978. |
| Office Action, dated Mar. 12, 2019, from corresponding U.S. Appl. No. 16/221,153. |
| Office Action, dated Mar. 16, 2020, from corresponding U.S. Appl. No. 16/719,488. |
| Office Action, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/565,395. |
| Office Action, dated Mar. 17, 2020, from corresponding U.S. Appl. No. 16/719,071. |
| Office Action, dated Mar. 20, 2020, from corresponding U.S. Appl. No. 16/778,709. |
| Office Action, dated Mar. 23, 2020, from corresponding U.S. Appl. No. 16/671,444. |
| Office Action, dated Mar. 25, 2019, from corresponding U.S. Appl. No. 16/278,121. |
| Office Action, dated Mar. 25, 2020, from corresponding U.S. Appl. No. 16/701,043. |
| Office Action, dated Mar. 25, 2020, from corresponding U.S. Appl. No. 16/791,006. |
| Office Action, dated Mar. 27, 2019, from corresponding U.S. Appl. No. 16/278,120. |
| Office Action, dated Mar. 30, 2018, from corresponding U.S. Appl. No. 15/894,890. |
| Office Action, dated Mar. 30, 2018, from corresponding U.S. Appl. No. 15/896,790. |
| Office Action, dated Mar. 4, 2019, from corresponding U.S. Appl. No. 16/237,083. |
| Office Action, dated May 16, 2018, from corresponding U.S. Appl. No. 15/882,989. |
| Office Action, dated May 17, 2019, from corresponding U.S. Appl. No. 16/277,539. |
| Office Action, dated May 2, 2018, from corresponding U.S. Appl. No. 15/894,809. |
| Office Action, dated May 2, 2019, from corresponding U.S. Appl. No. 16/104,628. |
| Office Action, dated Sep. 16, 2022, from corresponding U.S. Appl. No. 17/306,438. |
| Number | Date | Country | |
|---|---|---|---|
| 20200233976 A1 | Jul 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62547530 | Aug 2017 | US | |
| 62541613 | Aug 2017 | US | |
| 62537839 | Jul 2017 | US | |
| 62360123 | Jul 2016 | US | |
| 62353802 | Jun 2016 | US | |
| 62348695 | Jun 2016 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16436616 | Jun 2019 | US |
| Child | 16840943 | US | |
| Parent | 16105602 | Aug 2018 | US |
| Child | 16436616 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16059911 | Aug 2018 | US |
| Child | 16105602 | US | |
| Parent | 16055961 | Aug 2018 | US |
| Child | 16059911 | US | |
| Parent | 16055984 | Aug 2018 | US |
| Child | 16055961 | US | |
| Parent | 16055998 | Aug 2018 | US |
| Child | 16055984 | US | |
| Parent | 16055944 | Aug 2018 | US |
| Child | 16055998 | US | |
| Parent | 16055083 | Aug 2018 | US |
| Child | 16055944 | US | |
| Parent | 16054672 | Aug 2018 | US |
| Child | 16055083 | US | |
| Parent | 16054762 | Aug 2018 | US |
| Child | 16054672 | US | |
| Parent | 16054780 | Aug 2018 | US |
| Child | 16054762 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16055984 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16054780 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16054672 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16054762 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16055998 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16055083 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16055944 | US | |
| Parent | 15996208 | Jun 2018 | US |
| Child | 16055961 | US | |
| Parent | 15853674 | Dec 2017 | US |
| Child | 15996208 | US | |
| Parent | 15619455 | Jun 2017 | US |
| Child | 15853674 | US | |
| Parent | 15254901 | Sep 2016 | US |
| Child | 15619455 | US |
