System and methods for tokenized hierarchical secured asset distribution

Information

  • Patent Grant
  • 12149516
  • Patent Number
    12,149,516
  • Date Filed
    Wednesday, June 2, 2021
    3 years ago
  • Date Issued
    Tuesday, November 19, 2024
    a month ago
  • Inventors
  • Original Assignees
    • Flex Integration, LLC (Virginia Beach, VA, US)
  • Examiners
    • Pham; Luu T
    • Wilcox; James J
    Agents
    • Tuggle Duggins P.A.
    • Hurt; Blake P.
Abstract
In one aspect, the present disclosure relates to a method comprising: receiving an input from a user; verifying the security clearance level in accordance with a user of the user interface; analyzing at least one security clearance level associated with each portion of the data request; locating a data element located in at least one external database, the data element being associated with the data request; parsing the data element, the parsing comprising: determining an allowance of access to at least a portion of the data element in accordance with the following: relevance to the data request, and the verified security clearance level of the user, generating a token, the token being configured to allow access data element, the token comprising a security layer in accordance with the parsing of the data element; and transmitting the token to the user device.
Description
FIELD OF DISCLOSURE

The present disclosure generally relates to distributing data, and more specifically to distributing data to users in a secured computing environment.


BACKGROUND

Governments use classification systems to prevent unauthorized people from accessing sensitive information. Many governments use a classification system that has hierarchical classification levels such as, for example in ascending order, confidential, secret, top secret.


These security classifications are given to sensitive information and are also given to personnel. A person with a security clearance may only access information that is equal to or below the security clearance that they hold. However, the security clearance is not the only requirement for accessing secured information. In order to access information, a person must have not only the proper clearance classification, but they also must have a need to know the requested information.


Such a scheme limits the dissemination of classified information. For example, a commander with a top-secret clearance who is operating in the Asian theater may have access to all of the information relevant to Asia at the top-secret, secret, and confidential security levels. However, this commander, though he has a top-secret clearance, may not have access to the top secret movements of an aircraft carrier in Europe because he does not need to know the aircraft carrier movements in Europe to perform his duty in Asia.


In a decentralized, highly dynamic, digital operating environment where many entities have large databases with classified information, it is challenging for users to fully and efficiently access the desired information.


BRIEF OVERVIEW

This brief overview is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This brief overview is not intended to identify key features or essential features of the claimed subject matter. Nor is this brief overview intended to be used to limit the claimed subject matter's scope.


In one aspect, the present disclosure relates to a method comprising: receiving a request from a user interface, the user interface operative to receive an input from a user, the input comprising the following: a data request, and a security clearance level; verifying, the security clearance level; analyzing at least one security clearance level associated with each portion of the data request; retrieving at least one data element from at least one external database, the at least one data element being associated with the data request; parsing the at least one data element, the parsing comprising: extracting at least a portion of the at least one data element in accordance with the following: relevance to the data request, and the verified security clearance level, and redacting at least a portion of the at least one data element in accordance with the following: relevance to the data request, and the verified security clearance level; generating a report, the report comprising: the parsed at least one data element, a security layer, and a common operating picture; and transmitting the report to the user.


In another aspect, the present disclosure relates to a method comprising: receiving a request from a user device, the user device operative to receive an input from a user, the input comprising the following: a data request and a security clearance level; verifying the security clearance level in accordance with the user; analyzing at least one security clearance level associated with each portion of the data request; locating at least one data element located in at least one external database, the at least one data element being associated with the data request; parsing the at least one data element, the parsing comprising; determining an allowance of access to at least a portion of the at least one data element in accordance with the following: relevance to the data request, and the verified security clearance level of the user, generating a token, the token being configured to allow access at least one data element, the token comprising a security layer in accordance with the parsing of the at least one data element; and transmitting the token to the user device.


In another aspect, the present disclosure relates to a system comprising: a memory storage in operative communication with a processing module and a user interface module; the user interface module configured to perform the following: receive an input from a user, the user the input comprising the following: a data request, and a security clearance level; and the processing module configured to perform the following: receive the input from the user interface module, verify the security clearance level in accordance with a user of the user interface, analyze at least one security clearance level associated with each portion of the data request, locate at least one data element located in the memory storage, the at least one data element being associated with the data request, parse the at least one data element, the parsing configured to perform the following: determine an allowance of access to at least a portion of the at least one data element in accordance with the following: relevance to the data request, and the verified security clearance level of the user, generate a token, the token being configured to allow access at least one data element, the token comprising a security layer in accordance with the parsing of the at least one data element; and transmit the token to the user device.


Both the foregoing brief overview and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing brief overview and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present disclosure. The drawings contain representations of various trademarks and copyrights owned by the Applicant. In addition, the drawings may contain other marks owned by third parties and are being used for illustrative purposes only. All rights to various trademarks and copyrights represented herein, except those belonging to their respective owners, are vested in and the property of the Applicant. The Applicant retains and reserves all rights in its trademarks and copyrights included herein, and grants permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.


Furthermore, the drawings may contain text or captions that may explain certain embodiments of the present disclosure. This text is included for illustrative, non-limiting, explanatory purposes of certain embodiments detailed in the present disclosure. In the drawings:



FIG. 1 illustrates a block diagram of a system for tokenized hierarchical secured asset distribution;



FIG. 2 illustrates a block diagram showing an example operation of the system of FIG. 1;



FIG. 3 illustrates a block diagram of an example of a method 300 of operation of the system 200 (of FIG. 2);



FIG. 4 illustrates a block diagram of an operating environment consistent with the present disclosure;



FIG. 5 is a block diagram of a system including a computing device for performing the method of FIG. 3;



FIG. 6 illustrates a flow chart of a method consistent with the present disclosure; and



FIG. 7 illustrates a flow chart of a method consistent with the present disclosure.





DETAILED DESCRIPTION

As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the above-disclosed features. Furthermore, any embodiment discussed and identified as being “preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.


Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim a limitation found herein that does not explicitly appear in the claim itself.


Thus, for example, any sequence(s) and/or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive. Accordingly, it should be understood that, although steps of various processes or methods may be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally may be carried out in various different sequences and orders while still falling within the scope of the present invention. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s) rather than the description set forth herein.


Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein—as understood by the ordinary artisan based on the contextual use of such term—differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.


Regarding applicability of 35 U.S.C. § 112, ¶6, no claim element is intended to be read in accordance with this statutory provision unless the explicit phrase “means for” or “step for” is actually used in such claim element, whereupon this statutory provision is intended to apply in the interpretation of such claim element.


Furthermore, it is important to note that, as used herein, “a” and “an” each generally denotes “at least one,” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, “or” denotes “at least one of the items,” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, “and” denotes “all of the items of the list”.


The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the appended claims. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subjected matter disclosed under the header.


Governments, militaries, and corporations use classification systems to prevent unauthorized people from accessing sensitive information. In this regard, many governments use a classification system that has tiers such as, for example, confidential, secret, and top secret. These security classifications are given to sensitive information and are also given to personnel. A person with a security clearance may only access classified information that has a classification that is at or below the security clearance that they hold. However, the security clearance is not the only requirement for accessing secured information. In order to access classified information, a user should have both a security clearance that corresponds to the classification level of the information and the user should demonstrate that they need to know the classified information as a part of performing their duty.


In practice determining whether the consumer has a security clearance that allows them to access classified sensitive information is straightforward. One compares the security clearance of the consumer with the security classification of the information. For the need to know requirement however, the content of the information (in some examples metadata associated with the information) must be matched to the needs of the individual requesting the information.


The present disclosure includes many aspects and features. Moreover, while many aspects and features relate to, and are described in, the context of data distribution, embodiments of the present disclosure are not limited to use only in this context.


I. System Overview

This overview is provided to introduce a selection of concepts in a simplified form that are further described below. This overview is not intended to identify key features or essential features of the claimed subject matter. Nor is this overview intended to be used to limit the claimed subject matter's scope.


In some embodiments, when accessing sensitive information, a user has a profile or some associative information that may indicate a security clearance level of a user. Determining a “need to know” may be challenging due to a plurality of subjective criteria of the needs of the user being employed.


It is noted that system and/or platform 100 may be in operative communication with and/or embodied as system and/or platform 200, 300, and/or 400.



FIG. 1 illustrates a block diagram of an example of a data distribution system (and/or platform) 100. The system 100 may comprise chrome portion 102 communicatively connected to a global collection operations system management system (GCOMS) 104.


The chrome portion 102 may comprise a defense human enterprise interface capable of parsing visualizations through authorized access and/or a level of security.


By way of nonlimiting example of operation of system 100, the chrome portion 102 may receive a request for information from the user 110 via a user interface. The chrome portion 102 may then send a request 106 to the GCOMS 104 portion of the system 100. The GCOMS 104 portion of the system may then return the extracted data 108.


As discussed above, the GCOMS 104 may not return all of the requested data, but may withhold data if the GCOMS 104 portion determines that the user does not need to know the information. Often, the withheld information may be important for the user to perform their duties and should be included with the search results. Thus, the user may receive incomplete information and may not receive an indication that GCOMS 103 has withheld any of the results due to an apparent lack of a need to know the information.


Such an arrangement may result in undesirable situations where consumers of the information do not receive all of the requested data with the belief that all of the requested data was received.


Details with regards to each module is provided below. Although modules are disclosed with specific functionality, it should be understood that functionality may be shared between modules, with some functions split between modules, while other functions duplicated by the modules. Furthermore, the name of the module should not be construed as limiting upon the functionality of the module. Moreover, each component disclosed within each module can be considered independently without the context of the other components within the same module or different modules. Each component may contain language defined in other portions of this specifications. Each component disclosed for one module may be mixed with the functionality of another module. In the present disclosure, each component can be claimed on its own and/or interchangeably with other components of other modules.


The following depicts an example of a method of a plurality of methods that may be performed by at least one of the aforementioned modules, or components thereof. Various hardware components may be used at the various stages of operations disclosed with reference to each module. For example, although methods may be described to be performed by a single computing device, it should be understood that, in some embodiments, different operations may be performed by different networked elements in operative communication with the computing device. For example, at least one computing device 500 may be employed in the performance of some or all of the stages disclosed with regard to the methods. Similarly, an apparatus may be employed in the performance of some or all of the stages of the methods. As such, the apparatus may comprise at least those architectural components as found in computing device 500.


Furthermore, although the stages of the following example method are disclosed in a particular order, it should be understood that the order is disclosed for illustrative purposes only. Stages may be combined, separated, reordered, and various intermediary stages may exist. Accordingly, it should be understood that the various stages, in various embodiments, may be performed in arrangements that differ from the ones claimed below. Moreover, various stages may be added or removed without altering or deterring from the fundamental scope of the depicted methods and systems disclosed herein.


Consistent with embodiments of the present disclosure, a method may be performed by at least one of the modules disclosed herein. The method may be embodied as, for example, but not limited to, computer instructions, which when executed, perform the method. The method may comprise the following stages:

    • receiving a request from a user device, the user device operative to receive an input from a user, the input comprising the following:
      • a data request and
      • a security clearance level;
    • verifying the security clearance level in accordance with a user of the user interface;
    • analyzing at least one security clearance level associated with each portion of the data request;
    • locating at least one data element located in at least one external database, the at least one data element being associated with the data request;
    • parsing the at least one data element, the parsing comprising:
      • determining an allowance of access to at least a portion of the at least one data element in accordance with the following:
        • relevance to the data request, and
        • the verified security clearance level of the user,
    • generating a token, the token being configured to allow access at least one data element, the token comprising a security layer in accordance with the parsing of the at least one data element; and
    • transmitting the token to the user device.


Both the foregoing overview and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing overview and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.


II. System Configuration


FIG. 2 illustrates a block diagram of a system 200. The system 200 may comprise a flex portion 202 portion of the system that is communicatively connected to a GCOMS 104 and the chrome portion 102 of the system 200. In some embodiments, the user 110 may interact with the chrome portion 102 to send at least one data request. In further embodiments, the user 110 may interact with the chrome portion 102 to receive at least one result from the GCOMS 104.


In some embodiments, the user 110 may input a request 204 with at least one requirement for information that the chrome portion 102 may send to the flex portion 202.


a. Chrome Portion



FIG. 2 illustrates a chrome portion 102 in accordance with embodiments of the present disclosure. In some embodiments, chrome portion 102 may comprise a Graphical User Interface (GUI) operative to receive an input and/or request from user 110. In further embodiments, chrome portion 102 may comprise a User Interface (UI) operative to receive an input and/or request from user 110. The request and/or input may comprise at least one of the following:

    • i. a data request,
    • ii. a security clearance level,
    • iii. a generation of a request for a common operating picture, and
    • iv. a data declassification request.


In some embodiments, the security clearance level may comprise a plurality of hierarchical classification levels.


In some embodiments, the GUI and/or UI may be displayed on at least one user device. The request may comprise, for example, a request for information and/or data from user 110. The at least one user device may be compatible in accordance with computing device 500.


In yet further embodiments, chrome portion 102 may be operative to generate at least one searchable and/or parsable data point from the input and/or request.


In yet further embodiments, chrome portion 102 may be operative to:


a. Flex Portion



FIG. 2 illustrates flex portion 202 in accordance with embodiments of the present disclosure. In some embodiments, flex portion 202 may be configured to receive a request from chrome portion 102.


In further embodiments, flex portion 202 may be configured to verify the security clearance level.


In further embodiments, flex portion 202 may be configured to analyze at least one security clearance level associated with each portion of the data request.


In further embodiments, flex portion 202 may be configured to retrieve at least one data element from at least one external database and/or GCOMS 104. The at least one data element may be associated with at least a portion of the data request.


In further embodiments, flex portion 202 may be configured to parse the at least one data element. In some embodiments, the parsing may comprise extracting at least a portion of the at least one data element. In some embodiments, the extracting may be in accordance with at least one of the following:

    • a. relevance to the data request,
    • b. the verified security clearance level, and
    • c. other factors considered with the data request.


In further embodiments, the parsing may comprise redacting at least a portion of the at least one data element. In some embodiments, the redacting may be in accordance with at least one of the following:

    • a. relevance to the data request,
    • b. the verified security clearance level, and
    • c. other factors considered with the data request.


In further embodiments, flex portion 202 may be configured to determine an allowance of access to at least a portion of the at least one data element.


In some embodiments, flex portion 202 may be configured to compare a geolocation relating to the data request and a geolocation related to the at least one data element.


In some embodiments, flex portion 202 may be configured to redact at least a portion of the at least one data element in accordance with an incongruence of the geolocation relating to the data request and the geolocation related to the at least one data element.


In some embodiments, flex portion 202 may be configured to redact at least a portion of the at least one data element in accordance with a predetermined radius of the geolocation relating to the data request falling outside of a predetermined radius of the geolocation of the least one data element.


In further embodiments, flex portion 202 may be configured to generate a common operating picture. The common operating picture may be used for a plurality of parties to view and/or access relevant (operational) information.


In further embodiments, flex portion 202 may be configured to generate a report. In some embodiments, the report may comprise the parsed at least one data element. In further embodiments, the report may comprise the common operating picture.


In further embodiments, the report may comprise a security layer and/or security protocol.


In further embodiments, flex portion 202 may be configured to generate a token. In some embodiments, the token may comprise at least one of the following to allow access the parsed at least one data element:

    • a. a unique access code,
    • b. an identifier,
    • c. a permission indicator,
    • d. a portal,
    • e. an operator, and
    • f. a string.


In further embodiments, the token may comprise access to the common operating picture.


a. GCOMS



FIG. 2 illustrates GCOMS 104 in accordance with embodiments of the present disclosure. In some embodiments, GCOMS may be embodied as, for example, at least one of the following:

    • a. a global collection operations system management system,
    • b. a memory storage,
    • c. an external database,
    • d. an internal database,
    • e. software in accordance with at least a portion of computing device 500, and
    • f. hardware in accordance with at least a portion of computing device 500.


In further embodiments, at least a portion of GCOMS 104 may comprise a security clearance and/or protocol requirement for access. By way of nonlimiting example, GCOMS 104 may be embodied as a plurality of information stored on a government-owned server comprising a portion of classified information and a portion of unclassified information.


In further embodiments, GCOMS 104 may comprise at least a portion of the at least one data element and/or information relevant to the input and/or request.


GCOMS 104 may be embodied as and/or related to, for example, Global Command and Control System (GCCS). The GCCS is the US Department of Defense's joint command and control (C2) system. The GCCS may be used for providing accurate, complete, and timely information for the operational chain of command for U.S. armed forces. The GCCS may be embodied as a computing device consistent with embodiments of the present disclosure, including but not limited to computing device 500, and/or a combination of hardware, software, common procedures, appropriation, and numerous applications and interfaces making an operational architecture that provides worldwide connectivity with all levels of command. GCCS may incorporate systems that provide at least one of the following:

    • a. situational awareness,
    • b. intelligence support,
    • c. force planning,
    • d. at least one readiness assessment, and
    • e. deployment applications.


III. Platform Operation

The Chrome portion 102 may be operative to receive requests for information and/or data from the user 110. The user 110 may input a request (user request) 204 with requirements for information that the chrome portion 102 may send to the flex portion 202.


The flex portion 202 may be operative to receive a user request for an analytic product for a specific intelligence collection requirement. Once the flex portion 202 has processed the user request 204, the flex portion 202 may identify relevant information via security tagging and may send a request 206 for data extraction to GCOMS 104.


Once the flex portion 202 has identified the requested information, the flex portion 202 may extract the requested information 208, from GCOMS 104.


The flex portion 202 may create a security layer and/or a common operating picture (common operational procedure, common operational picture synchronizer, and/or COP) to provide the requested information 210 to the chrome portion 102. The requested information may be accessed and requested by the user via the chrome portion 102 based on the security clearance and access of the user 110. In some embodiments, a common operational picture may be embodied as a single (or multiple) identical display of relevant (operational) information.


Embodiments of the present disclosure provide a hardware and software platform operative by a set of methods and computer-readable media comprising instructions configured to operate the aforementioned modules and computing elements in accordance with the methods. The following depicts an example of at least one method of a plurality of methods that may be performed by at least one of the aforementioned modules. Various hardware components may be used at the various stages of operations disclosed with reference to each module.


For example, although methods may be described to be performed by a single computing device, it should be understood that, in some embodiments, different operations may be performed by different networked elements in operative communication with the computing device. For example, at least one computing device 500 may be employed in the performance of some or all of the stages disclosed with regard to the methods. Similarly, an apparatus may be employed in the performance of some or all of the stages of the methods. As such, the apparatus may comprise at least those architectural components as found in computing device 500.


Furthermore, although the stages of the following example method are disclosed in a particular order, it should be understood that the order is disclosed for illustrative purposes only. Stages may be combined, separated, reordered, and various intermediary stages may exist. Accordingly, it should be understood that the various stages, in various embodiments, may be performed in arrangements that differ from the ones claimed below. Moreover, various stages may be added or removed from the without altering or deterring from the fundamental scope of the depicted methods and systems disclosed herein.


A. Method for Accessing Protected Information


Consistent with embodiments of the present disclosure, a method 600 and/or 700 may be performed by at least one of the aforementioned modules. The method 600 and/or 700 may be embodied as, for example, but not limited to, computer instructions, which when executed, perform the method. The method may comprise the following stages:

    • 1. Step 602 and/or 702: receiving a request from a user device (Alternate: user interface), the user device operative to receive an input from a user, the input comprising (at least one of) the following:
      • a. a data request
      • b. a security clearance level
        • i. the security level comprising a plurality of hierarchical classification levels
      • c. a generation of a request for a common operating picture
      • d. a data declassification request
    • 2. Step 604 and/or 704: verifying the security clearance level in accordance with the user (of the user interface)
    • 3. Step 606 and/or 706: analyzing at least one security clearance level associated with each portion of the data request
    • 4. Step 608 and/or 708: locating (and/or retrieving) at least one data element located in at least one external database, the at least one data element being associated with the data request
    • 5. Step 610 and/or 710: parsing the at least one data element, the parsing comprising:
      • a. determining an allowance of access to at least a portion of the at least one data element in accordance with (at least one of) the following:
        • i. relevance to the data request
        • ii. the verified security clearance level of the user
      • b. (Alternate) Extracting at least a portion of the at least one data element in accordance with the following:
        • i. relevance to the data request, and
        • ii. the verified security clearance level,
      • c. (Alternate) Redacting at least a portion of the at least one data element in accordance with (at least one of) the following:
        • i. relevance to the data request
        • ii. the verified security clearance level
        • iii. an incongruence of the geolocation relating to the data request and the geolocation related to the at least one data element
        • iv. a predetermined radius of the geolocation relating to the data request falling outside of a predetermined radius of the geolocation of the least one data element
    • 6. Step 712: generating a token, the token being configured to allow access at least one data element, the token comprising a security layer in accordance with the parsing of the at least one data element
    • 7. Step 612: (Alternate) generating a report, the report comprising:
      • a. The parsed at least one data element
      • b. a security layer
        • i. a minimum security clearance requirement of the user
      • c. an access permission and
      • d. (curating and/or generating) a common operating picture
    • 8. (Alternate) parsing visualizations of the report in accordance with the security level associated with a user of the user interface
    • 9. Step 614 and/or 714: transmitting the token (and/or report) to the user device (and/or user).



FIG. 3 illustrates a block diagram of an example of a method 300 of operation of the system 200 (of FIG. 2). In this regard, in block 302, the user may request a common operating picture. In block 304, the system may 200 identify relevant information. The relevant information may be identified by, for example, comparing the terms of the request with metadata tags or other similar data identification methods. In block 306, the identified GCOMS information is extracted from GCOMS 104. In block 308, a security layer and common operating picture are created. In block 310, the user is provided access to the common operating picture base on the security and access permissions of the user.


IV. Computing Device Architecture

Platform and/or System 400 and/or Platform and/or System 100 may be embodied as, for example, but not be limited to, a website, a web application, a desktop application, backend application, and a mobile application compatible with a computing device 500. The computing device 500 may comprise, but not be limited to the following:

    • Mobile computing device, such as, but is not limited to, a laptop, a tablet, a smartphone, a drone, a wearable, an embedded device, a handheld device, an Arduino, an industrial device, or a remotely operable recording device;
    • A supercomputer, an exa-scale supercomputer, a mainframe, or a quantum computer;
    • A minicomputer, wherein the minicomputer computing device comprises, but is not limited to, an IBM AS400/iSeries/System I, A DEC VAX/PDP, a HP3000, a Honeywell-Bull DPS, a Texas Instruments TI-990, or a Wang Laboratories VS Series;
    • A microcomputer, wherein the microcomputer computing device comprises, but is not limited to, a server, wherein a server may be rack mounted, a workstation, an industrial device, a raspberry pi, a desktop, or an embedded device.


Platform 400 may be hosted on a centralized server or a cloud computing service. Although the methods have been described to be performed by a computing device 500, it should be understood that, in some embodiments, different operations may be performed by a plurality of the computing devices 500 in operative communication at least one network.


The platform 400 includes data stores 420 that are communicatively connected to a network 410. Services 425 and modules 430 are also connected to the network. A user 405 interacts with the system 400.


Embodiments of the present disclosure may comprise a system having a central processing unit (CPU) 520, a bus 530, a memory unit 540, a power supply unit (PSU) 550, and one or more Input/Output (I/O) units. The CPU 520 coupled to the memory unit 540 and the plurality of I/O units 560 via the bus 530, all of which are powered by the PSU 550. It should be understood that, in some embodiments, each disclosed unit may actually be a plurality of such units for the purposes of redundancy, high availability, and/or performance. The combination of the presently disclosed units is configured to perform the stages any method disclosed herein.



FIG. 5 is a block diagram of a system including computing device 500. Consistent with an embodiment of the disclosure, the aforementioned CPU 520, the bus 530, the memory unit 540, a PSU 550, and the plurality of I/O units 560 may be implemented in a computing device, such as computing device 500 of FIG. 5. Any suitable combination of hardware, software, or firmware may be used to implement the aforementioned units. For example, the CPU 520, the bus 530, and the memory unit 540 may be implemented with computing device 500 or any of other computing devices 500, in combination with computing device 500. The aforementioned system, device, and components are examples and other systems, devices, and components may comprise the aforementioned CPU 520, the bus 530, the memory unit 540, consistent with embodiments of the disclosure.


At least one computing device 500 may be embodied as any of the computing elements illustrated in all of the attached figures. A computing device 500 does not need to be electronic, nor even have a CPU 520, nor bus 530, nor memory unit 540. The definition of the computing device 500 to a person having ordinary skill in the art is “A device that computes, especially a programmable [usually] electronic machine that performs high-speed mathematical or logical operations or that assembles, stores, correlates, or otherwise processes information.” Any device which processes information qualifies as a computing device 500, especially if the processing is purposeful.


With reference to FIG. 5, a system consistent with an embodiment of the disclosure may include a computing device, such as computing device 500. In a basic configuration, computing device 500 may include at least one clock module 510, at least one CPU 520, at least one bus 530, and at least one memory unit 540, at least one PSU 550, and at least one I/O 560 module, wherein I/O module may be comprised of, but not limited to a non-volatile storage sub-module 561, a communication sub-module 562, a sensors sub-module 563, and a peripherals sub-module 564.


A system consistent with an embodiment of the disclosure the computing device 500 may include the clock module 510 may be known to a person having ordinary skill in the art as a clock generator, which produces clock signals. Clock signal is a particular type of signal that oscillates between a high and a low state and is used like a metronome to coordinate actions of digital circuits. Most integrated circuits (ICs) of sufficient complexity use a clock signal in order to synchronize different parts of the circuit, cycling ata rate slower than the worst-case internal propagation delays. The preeminent example of the aforementioned integrated circuit is the CPU 520, the central component of modern computers, which relies on a clock. The only exceptions are asynchronous circuits such as asynchronous CPUs. The clock 510 can comprise a plurality of embodiments, such as, but not limited to, single-phase clock which transmits all clock signals on effectively 1 wire, two-phase clock which distributes clock signals on two wires, each with non-overlapping pulses, and four-phase clock which distributes clock signals on 4 wires.


Many computing devices 500 use a “clock multiplier” which multiplies a lower frequency external clock to the appropriate clock rate of the CPU 520. This allows the CPU 520 to operate at a much higher frequency than the rest of the computer, which affords performance gains in situations where the CPU 520 does not need to wait on an external factor (like memory 540 or input/output 560). Some embodiments of the clock 510 may include dynamic frequency change, where, the time between clock edges can vary widely from one edge to the next and back again.


A system consistent with an embodiment of the disclosure the computing device 500 may include the CPU unit 520 comprising at least one CPU Core 521. A plurality of CPU cores 521 may comprise identical the CPU cores 521, such as, but not limited to, homogeneous multi-core systems. It is also possible for the plurality of CPU cores 521 to comprise different the CPU cores 521, such as, but not limited to, heterogeneous multi-core systems, big. LITTLE systems and some AMD accelerated processing units (APU). The CPU unit 520 reads and executes program instructions which may be used across many application domains, for example, but not limited to, general purpose computing, embedded computing, network computing, digital signal processing (DSP), and graphics processing (GPU). The CPU unit 520 may run multiple instructions on separate CPU cores 521 at the same time. The CPU unit 520 may be integrated into at least one of a single integrated circuit die and multiple dies in a single chip package. The single integrated circuit die and multiple dies in a single chip package may contain a plurality of other aspects of the computing device 500, for example, but not limited to, the clock 510, the CPU 520, the bus 530, the memory 540, and I/O 560.


The CPU unit 520 may contain cache 522 such as, but not limited to, a level 1 cache, level 2 cache, level 3 cache or combination thereof. The aforementioned cache 522 may or may not be shared amongst a plurality of CPU cores 521. The cache 522 sharing comprises at least one of message passing and inter-core communication methods may be used for the at least one CPU Core 521 to communicate with the cache 522. The inter-core communication methods may comprise, but not limited to, bus, ring, two-dimensional mesh, and crossbar. The aforementioned CPU unit 520 may employ symmetric multiprocessing (SMP) design.


The plurality of the aforementioned CPU cores 521 may comprise soft microprocessor cores on a single field programmable gate array (FPGA), such as semiconductor intellectual property cores (IP Core). The plurality of CPU cores 521 architecture may be based on at least one of, but not limited to, Complex instruction set computing (CISC), Zero instruction set computing (ZISC), and Reduced instruction set computing (RISC). At least one of the performance-enhancing methods may be employed by the plurality of the CPU cores 521, for example, but not limited to Instruction-level parallelism (ILP) such as, but not limited to, superscalar pipelining, and Thread-level parallelism (TLP).


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ a communication system that transfers data between components inside the aforementioned computing device 500, and/or the plurality of computing devices 500. The aforementioned communication system will be known to a person having ordinary skill in the art as a bus 530. The bus 530 may embody internal and/or external plurality of hardware and software components, for example, but not limited to a wire, optical fiber, communication protocols, and any physical arrangement that provides the same logical function as a parallel electrical bus. The bus 530 may comprise at least one of, but not limited to a parallel bus, wherein the parallel bus carry data words in parallel on multiple wires, and a serial bus, wherein the serial bus carry data in bit-serial form. The bus 530 may embody a plurality of topologies, for example, but not limited to, a multidrop/electrical parallel topology, a daisy chain topology, and a connected by switched hubs, such as USB bus. The bus 530 may comprise a plurality of embodiments, for example, but not limited to:

    • Internal data bus (data bus) 531/Memory bus
    • Control bus 532
    • Address bus 533
    • System Management Bus (SMBus)
    • Front-Side-Bus (FSB)
    • External Bus Interface (EBI)
    • Local bus
    • Expansion bus
    • Lightning bus
    • Controller Area Network (CAN bus)
    • Camera Link
    • ExpressCard
    • Advanced Technology management Attachment (ATA), including embodiments and derivatives such as, but not limited to, Integrated Drive Electronics (IDE)/Enhanced IDE (EIDE), ATA Packet Interface (ATAPI), Ultra-Direct Memory Access (UDMA), Ultra ATA (UATA)/Parallel ATA (PATA)/Serial ATA (SATA), CompactFlash (CF) interface, Consumer Electronics ATA (CE-ATA)/Fiber Attached Technology Adapted (FATA), Advanced Host Controller Interface (AHCI), SATA Express (SATAe)/External SATA (eSATA), including the powered embodiment eSATAp/Mini-SATA (mSATA), and Next Generation Form Factor (NGFF)/M.2.
    • Small Computer System Interface (SCSI)/Serial Attached SCSI (SAS)
    • HyperTransport
    • InfiniBand
    • RapidIO
    • Mobile Industry Processor Interface (MIPI)
    • Coherent Processor Interface (CAPI)
    • Plug-n-play
    • 1-Wire
    • Peripheral Component Interconnect (PCI), including embodiments such as, but not limited to, Accelerated Graphics Port (AGP), Peripheral Component Interconnect eXtended (PCI-X), Peripheral Component Interconnect Express (PCI-e) (e.g., PCI Express Mini Card, PCI Express M.2 [Mini PCIe v2], PCI Express External Cabling [ePCIe], and PCI Express OCuLink [Optical Copper{Cu} Link]), Express Card, AdvancedTCA, AMC, Universal 10, Thunderbolt/Mini DisplayPort, Mobile PCIe (M-PCIe), U.2, and Non-Volatile Memory Express (NVMe)/Non-Volatile Memory Host Controller Interface Specification (NVMHCIS).
    • Industry Standard Architecture (ISA), including embodiments such as, but not limited to Extended ISA (EISA), PC/XT-bus/PC/AT-bus/PC/104 bus (e.g., PC/104-Plus, PCI/104-Express, PCI/104, and PCI-104), and Low Pin Count (LPC).
    • Music Instrument Digital Interface (MIDI)
    • Universal Serial Bus (USB), including embodiments such as, but not limited to, Media Transfer Protocol (MTP)/Mobile High-Definition Link (MHL), Device Firmware Upgrade (DFU), wireless USB, InterChip USB, IEEE 1394 Interface/Firewire, Thunderbolt, and eXtensible Host Controller Interface (xHCI).


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ hardware integrated circuits that store information for immediate use in the computing device 500, know to the person having ordinary skill in the art as primary storage or memory 540. The memory 540 operates at high speed, distinguishing it from the non-volatile storage sub-module 561, which may be referred to as secondary or tertiary storage, which provides slow-to-access information but offers higher capacities at lower cost. The contents contained in memory 540, may be transferred to secondary storage via techniques such as, but not limited to, virtual memory and swap. The memory 540 may be associated with addressable semiconductor memory, such as integrated circuits consisting of silicon-based transistors, used for example as primary storage but also other purposes in the computing device 500. The memory 540 may comprise a plurality of embodiments, such as, but not limited to volatile memory, non-volatile memory, and semi-volatile memory. It should be understood by a person having ordinary skill in the art that the ensuing are non-limiting examples of the aforementioned memory:

    • Volatile memory which requires power to maintain stored information, for example, but not limited to, Dynamic Random-Access Memory (DRAM) 541, Static Random-Access Memory (SRAM) 542, CPU Cache memory 525, Advanced Random-Access Memory (A-RAM), and other types of primary storage such as Random-Access Memory (RAM).
    • Non-volatile memory which can retain stored information even after power is removed, for example, but not limited to, Read-Only Memory (ROM) 543, Programmable ROM (PROM) 544, Erasable PROM (EPROM) 545, Electrically Erasable PROM (EEPROM) 546 (e.g., flash memory and Electrically Alterable PROM [EAPROM]), Mask ROM (MROM), One Time Programable (OTP) ROM/Write Once Read Many (WORM), Ferroelectric RAM (FeRAM), Parallel Random-Access Machine (PRAM), Split-Transfer Torque RAM (STT-RAM), Silicon Oxime Nitride Oxide Silicon (SONOS), Resistive RAM (RRAM), Nano RAM (NRAM), 3D XPoint, Domain-Wall Memory (DWM), and millipede memory.
    • Semi-volatile memory which may have some limited non-volatile duration after power is removed but loses data after said duration has passed. Semi-volatile memory provides high performance, durability, and other valuable characteristics typically associated with volatile memory, while providing some benefits of true non-volatile memory. The semi-volatile memory may comprise volatile and non-volatile memory and/or volatile memory with battery to provide power after power is removed. The semi-volatile memory may comprise, but not limited to spin-transfer torque RAM (STT-RAM).


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ the communication system between an information processing system, such as the computing device 500, and the outside world, for example, but not limited to, human, environment, and another computing device 500. The aforementioned communication system will be known to a person having ordinary skill in the art as I/O 560. The I/O module 560 regulates a plurality of inputs and outputs with regard to the computing device 500, wherein the inputs are a plurality of signals and data received by the computing device 500, and the outputs are the plurality of signals and data sent from the computing device 500. The I/O module 560 interfaces a plurality of hardware, such as, but not limited to, non-volatile storage 561, communication devices 562, sensors 563, and peripherals 564. The plurality of hardware is used by the at least one of, but not limited to, human, environment, and another computing device 500 to communicate with the present computing device 500. The I/O module 560 may comprise a plurality of forms, for example, but not limited to channel I/O, port mapped I/O, asynchronous I/O, and Direct Memory Access (DMA).


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ the non-volatile storage sub-module 561, which may be referred to by a person having ordinary skill in the art as one of secondary storage, external memory, tertiary storage, off-line storage, and auxiliary storage. The non-volatile storage sub-module 561 may not be accessed directly by the CPU 520 without using intermediate area in the memory 540. The non-volatile storage sub-module 561 does not lose data when power is removed and may be two orders of magnitude less costly than storage used in memory module, at the expense of speed and latency. The non-volatile storage sub-module 561 may comprise a plurality of forms, such as, but not limited to, Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), nearline storage, Massive Array of Idle Disks (MAID), Redundant Array of Independent Disks (RAID), device mirroring, off-line storage, and robotic storage. The non-volatile storage sub-module (561) may comprise a plurality of embodiments, such as, but not limited to:

    • Optical storage, for example, but not limited to, Compact Disk (CD) (CD-ROM/CD-R/CD-RW), Digital Versatile Disk (DVD) (DVD-ROM/DVD-R/DVD+R/DVD-RW/DVD+RW/DVD±RW/DVD+R DL/DVD-RAM/HD-DVD), Blu-ray Disk (BD) (BD-ROM/BD-R/BD-RE/BD-R DL/BD-RE DL), and Ultra-Density Optical (UDO)
    • Semiconductor storage, for example, but not limited to, flash memory, such as, but not limited to, USB flash drive, Memory card, Subscriber Identity Module (SIM) card, Secure Digital (SD) card, Smart Card, CompactFlash (CF) card, Solid-State Drive (SSD) and memristor
    • Magnetic storage such as, but not limited to, Hard Disk Drive (HDD), tape drive, carousel memory, and Card Random-Access Memory (CRAM)
    • Phase-change memory
    • Holographic data storage such as Holographic Versatile Disk (HVD)
    • Molecular Memory
    • Deoxyribonucleic Acid (DNA) digital data storage


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ the communication sub-module 562 as a subset of the I/O 560, which may be referred to by a person having ordinary skill in the art as at least one of, but not limited to, computer network, data network, and network. The network allows computing devices 500 to exchange data using connections, which may be known to a person having ordinary skill in the art as data links, between network nodes. The nodes comprise network computer devices 500 that originate, route, and terminate data. The nodes are identified by network addresses and can include a plurality of hosts consistent with the embodiments of a computing device 500. The aforementioned embodiments include, but not limited to personal computers, phones, servers, drones, and networking devices such as, but not limited to, hubs, switches, routers, modems, and firewalls.


Two nodes can be said are networked together, when one computing device 500 is able to exchange information with the other computing device 500, whether or not they have a direct connection with each other. The communication sub-module 562 supports a plurality of applications and services, such as, but not limited to World Wide Web (WWW), digital video and audio, shared use of application and storage computing devices 500, printers/scanners/fax machines, email/online chat/instant messaging, remote control, distributed computing, etc. The network may comprise a plurality of transmission mediums, such as, but not limited to conductive wire, fiber optics, and wireless. The network may comprise a plurality of communications protocols to organize network traffic, wherein application-specific communications protocols are layered, may be known to a person having ordinary skill in the art as carried as payload, over other more general communications protocols. The plurality of communications protocols may comprise, but not limited to, IEEE 802, ethernet, Wireless LAN (WLAN/Wi-Fi), Internet Protocol (IP) suite (e.g., TCP/IP, UDP, Internet Protocol version 4 [IPv4], and Internet Protocol version 6 [IPv6]), Synchronous Optical Networking (SONET)/Synchronous Digital Hierarchy (SDH), Asynchronous Transfer Mode (ATM), and cellular standards (e.g., Global System for Mobile Communications [GSM], General Packet Radio Service [GPRS], Code-Division Multiple Access [CDMA], and Integrated Digital Enhanced Network [IDEN]).


The communication sub-module 562 may comprise a plurality of size, topology, traffic control mechanism and organizational intent. The communication sub-module 562 may comprise a plurality of embodiments, such as, but not limited to:

    • Wired communications, such as, but not limited to, coaxial cable, phone lines, twisted pair cables (ethernet), and InfiniBand.
    • Wireless communications, such as, but not limited to, communications satellites, cellular systems, radio frequency/spread spectrum technologies, IEEE 802.11 Wi-Fi, Bluetooth, NFC, free-space optical communications, terrestrial microwave, and Infrared (IR) communications. Wherein cellular systems embody technologies such as, but not limited to, 3G,4G (such as WiMax and LTE), and 5G (short and long wavelength).
      • Parallel communications, such as, but not limited to, LPT ports.
    • Serial communications, such as, but not limited to, RS-232 and USB.
    • Fiber Optic communications, such as, but not limited to, Single-mode optical fiber (SMF) and Multi-mode optical fiber (MMF).
    • Power Line communications.


The aforementioned network may comprise a plurality of layouts, such as, but not limited to, bus network such as ethernet, star network such as Wi-Fi, ring network, mesh network, fully connected network, and tree network. The network can be characterized by its physical capacity or its organizational purpose. Use of the network, including user authorization and access rights, differ accordingly. The characterization may include, but not limited to nanoscale network, Personal Area Network (PAN), Local Area Network (LAN), Home Area Network (HAN), Storage Area Network (SAN), Campus Area Network (CAN), backbone network, Metropolitan Area Network (MAN), Wide Area Network (WAN), enterprise private network, Virtual Private Network (VPN), and Global Area Network (GAN).


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ the sensors sub-module 563 as a subset of the I/O 560. The sensors sub-module 563 comprises at least one of the devices, modules, and subsystems whose purpose is to detect events or changes in its environment and send the information to the computing device 500. Sensors are sensitive to the measured property, are not sensitive to any property not measured, but may be encountered in its application, and do not significantly influence the measured property. The sensors sub-module 563 may comprise a plurality of digital devices and analog devices, wherein if an analog device is used, an Analog to Digital (A-to-D) converter must be employed to interface the said device with the computing device 500. The sensors may be subject to a plurality of deviations that limit sensor accuracy. The sensors sub-module 563 may comprise a plurality of embodiments, such as, but not limited to, chemical sensors, automotive sensors, acoustic/sound/vibration sensors, electric current/electric potential/magnetic/radio sensors, environmental/weather/moisture/humidity sensors, flow/fluid velocity sensors, ionizing radiation/particle sensors, navigation sensors, position/angle/displacement/distance/speed/acceleration sensors, imaging/optical/light sensors, pressure sensors, force/density/level sensors, thermal/temperature sensors, and proximity/presence sensors. It should be understood by a person having ordinary skill in the art that the ensuing are non-limiting examples of the aforementioned sensors:

    • Chemical sensors, such as, but not limited to, breathalyzer, carbon dioxide sensor, carbon monoxide/smoke detector, catalytic bead sensor, chemical field-effect transistor, chemiresistor, electrochemical gas sensor, electronic nose, electrolyte-insulator-semiconductor sensor, energy-dispersive X-ray spectroscopy, fluorescent chloride sensors, holographic sensor, hydrocarbon dew point analyzer, hydrogen sensor, hydrogen sulfide sensor, infrared point sensor, ion-selective electrode, nondispersive infrared sensor, microwave chemistry sensor, nitrogen oxide sensor, olfactometer, optode, oxygen sensor, ozone monitor, pellistor, pH glass electrode, potentiometric sensor, redox electrode, zinc oxide nanorod sensor, and biosensors (such as nanosensors).
    • Automotive sensors, such as, but not limited to, air flow meter/mass airflow sensor, air-fuel ratio meter, AFR sensor, blind spot monitor, engine coolant/exhaust gas/cylinder head/transmission fluid temperature sensor, hall effect sensor, wheel/automatic transmission/turbine/vehicle speed sensor, airbag sensors, brake fluid/engine crankcase/fuel/oil/tire pressure sensor, camshaft/crankshaft/throttle position sensor, fuel/oil level sensor, knock sensor, light sensor, MAP sensor, oxygen sensor (o2), parking sensor, radar sensor, torque sensor, variable reluctance sensor, and water-in-fuel sensor.
    • Acoustic, sound and vibration sensors, such as, but not limited to, microphone, lace sensor (guitar pickup), seismometer, sound locator, geophone, and hydrophone.
    • Electric current, electric potential, magnetic, and radio sensors, such as, but not limited to, current sensor, Daly detector, electroscope, electron multiplier, faraday cup, galvanometer, hall effect sensor, hall probe, magnetic anomaly detector, magnetometer, magnetoresistance, MEMS magnetic field sensor, metal detector, planar hall sensor, radio direction finder, and voltage detector.
    • Environmental, weather, moisture, and humidity sensors, such as, but not limited to, actinometer, air pollution sensor, bedwetting alarm, ceilometer, dew warning, electrochemical gas sensor, fish counter, frequency domain sensor, gas detector, hook gauge evaporimeter, humistor, hygrometer, leaf sensor, lysimeter, pyranometer, pyrgeometer, psychrometer, rain gauge, rain sensor, seismometers, SNOTEL, snow gauge, soil moisture sensor, stream gauge, and tide gauge.
    • Flow and fluid velocity sensors, such as, but not limited to, air flow meter, anemometer, flow sensor, gas meter, mass flow sensor, and water meter.
    • Ionizing radiation and particle sensors, such as, but not limited to, cloud chamber, Geiger counter, Geiger-Muller tube, ionization chamber, neutron detection, proportional counter, scintillation counter, semiconductor detector, and thermoluminescent dosimeter.
    • Navigation sensors, such as, but not limited to, air speed indicator, altimeter, attitude indicator, depth gauge, fluxgate compass, gyroscope, inertial navigation system, inertial reference unit, magnetic compass, MHD sensor, ring laser gyroscope, turn coordinator, variometer, vibrating structure gyroscope, and yaw rate sensor.
    • Position, angle, displacement, distance, speed, and acceleration sensors, such as, but not limited to, accelerometer, displacement sensor, flex sensor, free fall sensor, gravimeter, impact sensor, laser rangefinder, LIDAR, odometer, photoelectric sensor, position sensor such as, but not limited to, GPS or Glonass, angular rate sensor, shock detector, ultrasonic sensor, tilt sensor, tachometer, ultra-wideband radar, variable reluctance sensor, and velocity receiver.
    • Imaging, optical and light sensors, such as, but not limited to, CMOS sensor, colorimeter, contact image sensor, electro-optical sensor, infra-red sensor, kinetic inductance detector, LED as light sensor, light-addressable potentiometric sensor, Nichols radiometer, fiber-optic sensors, optical position sensor, thermopile laser sensor, photodetector, photodiode, photomultiplier tubes, phototransistor, photoelectric sensor, photoionization detector, photomultiplier, photoresistor, photoswitch, phototube, scintillometer, Shack-Hartmann, single-photon avalanche diode, superconducting nanowire single-photon detector, transition edge sensor, visible light photon counter, and wavefront sensor.
    • Pressure sensors, such as, but not limited to, barograph, barometer, boost gauge, bourdon gauge, hot filament ionization gauge, ionization gauge, McLeod gauge, Oscillating U-tube, permanent downhole gauge, piezometer, Pirani gauge, pressure sensor, pressure gauge, tactile sensor, and time pressure gauge.
    • Force, Density, and Level sensors, such as, but not limited to, bhangmeter, hydrometer, force gauge or force sensor, level sensor, load cell, magnetic level or nuclear density sensor or strain gauge, piezocapacitive pressure sensor, piezoelectric sensor, torque sensor, and viscometer.
    • Thermal and temperature sensors, such as, but not limited to, bolometer, bimetallic strip, calorimeter, exhaust gas temperature gauge, flame detection/pyrometer, Gardon gauge, Golay cell, heat flux sensor, microbolometer, microwave radiometer, net radiometer, infrared/quartz/resistance thermometer, silicon bandgap temperature sensor, thermistor, and thermocouple.
    • Proximity and presence sensors, such as, but not limited to, alarm sensor, doppler radar, motion detector, occupancy sensor, proximity sensor, passive infrared sensor, reed switch, stud finder, triangulation sensor, touch switch, and wired glove.


Consistent with the embodiments of the present disclosure, the aforementioned computing device 500 may employ the peripherals sub-module 562 as a subset of the I/O 560. The peripheral sub-module 564 comprises ancillary devices uses to put information into and get information out of the computing device 500. There are 3 categories of devices comprising the peripheral sub-module 564, which exist based on their relationship with the computing device 500, input devices, output devices, and input/output devices. Input devices send at least one of data and instructions to the computing device 500. Input devices can be categorized based on, but not limited to:

    • Modality of input, such as, but not limited to, mechanical motion, audio, visual, and tactile
    • Whether the input is discrete, such as but not limited to, pressing a key, or continuous such as, but not limited to position of a mouse
    • The number of degrees of freedom involved, such as, but not limited to, two-dimensional mice vs three-dimensional mice used for Computer-Aided Design (CAD) applications


Output devices provide output from the computing device 500. Output devices convert electronically generated information into a form that can be presented to humans. Input/output devices perform that perform both input and output functions. It should be understood by a person having ordinary skill in the art that the ensuing are non-limiting embodiments of the aforementioned peripheral sub-module 564:

    • Input Devices
      • Human Interface Devices (HID), such as, but not limited to, pointing device (e.g., mouse, touchpad, joystick, touchscreen, game controller/gamepad, remote, light pen, light gun, Wii remote, jog dial, shuttle, and knob), keyboard, graphics tablet, digital pen, gesture recognition devices, magnetic ink character recognition, Sip-and-Puff (SNP) device, and Language Acquisition Device (LAD).
      • High degree of freedom devices, that require up to six degrees of freedom such as, but not limited to, camera gimbals, Cave Automatic Virtual Environment (CAVE), and virtual reality systems.
      • Video Input devices are used to digitize images or video from the outside world into the computing device 500. The information can be stored in a multitude of formats depending on the user's requirement. Examples of types of video input devices include, but not limited to, digital camera, digital camcorder, portable media player, webcam, Microsoft Kinect, image scanner, fingerprint scanner, barcode reader, 3D scanner, laser rangefinder, eye gaze tracker, computed tomography, magnetic resonance imaging, positron emission tomography, medical ultrasonography, TV tuner, and iris scanner.
      • Audio input devices are used to capture sound. In some cases, an audio output device can be used as an input device, in order to capture produced sound. Audio input devices allow a user to send audio signals to the computing device 500 for at least one of processing, recording, and carrying out commands. Devices such as microphones allow users to speak to the computer in order to record a voice message or navigate software. Aside from recording, audio input devices are also used with speech recognition software. Examples of types of audio input devices include, but not limited to microphone, Musical Instrumental Digital Interface (MIDI) devices such as, but not limited to a keyboard, and headset.
      • Data AcQuisition (DAQ) devices covert at least one of analog signals and physical parameters to digital values for processing by the computing device 500. Examples of DAQ devices may include, but not limited to, Analog to Digital Converter (ADC), data logger, signal conditioning circuitry, multiplexer, and Time to Digital Converter (TDC).
    • Output Devices may further comprise, but not be limited to:
      • Display devices, which convert electrical information into visual form, such as, but not limited to, monitor, TV, projector, and Computer Output Microfilm (COM). Display devices can use a plurality of underlying technologies, such as, but not limited to, Cathode-Ray Tube (CRT), Thin-Film Transistor (TFT), Liquid Crystal Display (LCD), Organic Light-Emitting Diode (OLED), MicroLED, E Ink Display (ePaper) and Refreshable Braille Display (Braille Terminal).
      • Printers, such as, but not limited to, inkjet printers, laser printers, 3D printers, solid ink printers and plotters.
      • Audio and Video (AV) devices, such as, but not limited to, speakers, headphones, amplifiers and lights, which include lamps, strobes, DJ lighting, stage lighting, architectural lighting, special effect lighting, and lasers.
      • Other devices such as Digital to Analog Converter (DAC)
    • Input/Output Devices may further comprise, but not be limited to, touchscreens, networking device (e.g., devices disclosed in network 562 sub-module), data storage device (non-volatile storage 561), facsimile (FAX), and graphics/sound cards.


All rights including copyrights in the code included herein are vested in and the property of the Applicant. The Applicant retains and reserves all rights in the code included herein, and grants permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.


V. Aspects

The following disclose various Aspects of the present disclosure. The various Aspects are not to be construed as patent claims unless the language of the Aspect appears as a patent claim. The Aspects describe various non-limiting embodiments of the present disclosure.

    • Aspect 1. A data distribution system comprising:
      • receiving a data request;
      • processing the data request and identify data requested in the data request;
      • extracting the identified data; and
      • providing the identified data to a user.
      • Aspect 2. Developing a Common Operational Picture (in communication/association with the analytic product):
      • Define Objectives,
      • Map Solutions to Objectives,
      • Identify the Requisite Intelligence,
      • Establish the Data Requirements, and
      • Implement the Appropriate Technology.
    • Aspect 3. A security module (in communication/association with the analytic product) may be used for at least one of the following:
      • a. enforcing restrictions,
      • b. removing and/or restricting users,
      • c. restricting and/or Removing content,
      • d. resetting and/or changing user passwords,
      • e. limiting and/or removing personal user data, and/or
      • f. restricting communication and/or profile access of the first user to the second user.
    • Aspect 4. Tracking Module. (In some embodiments, part of the common operating picture and/or any other component of the system) (in communication/association with the analytic product)


In some embodiments, a tracking module may be configured to track, store, and/or relay geolocation information of the user, mobile device of the user, and/or an object of interest. In further embodiments, the tracking module may track, store, and/or relay gyroscopic information of the user and/or mobile device of the user. In yet further embodiments, the tracking module may track, store, and/or relay proximity information of the mobile device of the user and at least one other electronic device. In some embodiments, the geolocation data, gyroscopic information, and/or proximity information may be recorded in a predetermined time increment.


VI. Claims

While the specification includes examples, the disclosure's scope is indicated by the following claims. Furthermore, while the specification has been described in language specific to structural features and/or methodological acts, the claims are not limited to the features or acts described above. Rather, the specific features and acts described above are disclosed as example for embodiments of the disclosure.


Insofar as the description above and the accompanying drawing disclose any additional subject matter that is not within the scope of the claims below, the disclosures are not dedicated to the public and the right to file one or more applications to claims such additional disclosures is reserved.

Claims
  • 1. A system comprising: a processor connected to a user device; a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to:receive a request from a user device interface, the user device interface operative to receive an input from a user, the input comprising the following:a data request associated with a common operating picture, and a security clearance level associated with the data request;verify the security clearance level;analyze the security clearance level for each portion of the data request; generate at least one token based on the security clearance level, wherein the at least one token comprising:a unique access code,an identifier,a permission indicator,a portal,an operator,and a string;retrieve at least one data element from at least one external database, the at least one data element being associated with the data request;compare a geolocation relating to the data request and a geolocation related to the at least one data element;parse the at least one data element by extracting at least a portion of the at least one data element in accordance with the at least one token;redact at least a portion of the parsed at least one data element in accordance with the following: relevance to the data request, and the verified security clearance level;generate a report, the report comprising:the redacted at least one data element,a security layer defined as a minimum-security clearance requirement of the user,the security layer generated in accordance with the parsing of the at least one data element,and the common operating picture comprising the redacted at least one data element;and transmit the report to the user.
  • 2. The system of claim 1, further comprising machine-readable instructions that when executed by the processor, cause the processor to: retrieve the at least one data element from at least one of the following: a global collection operations system management system, and a global command and control system.
  • 3. The system of claim 2, wherein generating the report further comprises generating the security layer, the security layer comprising at least one access permission.
  • 4. The system of claim 2, wherein generating the report further comprises generating the common operating picture, the common operating picture comprising an identical display of relevant strategic information available to a plurality of users.
  • 5. The system of claim 2, further comprising machine-readable instructions that when executed by the processor, cause the processor to receive the security clearance level, the security clearance level comprising a plurality of hierarchical classification levels.
  • 6. The system of claim 2, further comprising machine-readable instructions that when executed by the processor, cause the processor to curate the common operating picture in accordance with the following: the redacted at least one data element, and the security layer.
  • 7. The system of claim 2, further comprising machine-readable instructions that when executed by the processor, cause the processor to parse visualizations of the report in accordance with a security clearance level associated with the user.
  • 8. The system of claim 1, further comprising machine-readable instructions that when executed by the processor, cause the processor to redact at least a portion of the at least one data element in accordance with an incongruence of the geolocation relating to the data request and the geolocation related to the at least one data element.
  • 9. The system of claim 1, further comprising machine-readable instructions that when executed by the processor, cause the processor to redact at least a portion of the at least one data element in accordance with a predetermined radius of the geolocation relating to the data request falling outside of a predetermined radius of the geolocation of the at least one data element.
US Referenced Citations (798)
Number Name Date Kind
5678041 Baker Oct 1997 A
6715080 Starkovich Mar 2004 B1
6765901 Johnson Jul 2004 B1
6889210 Vainstein May 2005 B1
7136782 Araki Nov 2006 B1
7178033 Garcia Feb 2007 B1
7260836 Roskind Aug 2007 B2
7293175 Brown Nov 2007 B2
7570640 LaVigne Aug 2009 B2
7596260 Tedesco Sep 2009 B2
7669051 Redlich Feb 2010 B2
7685206 Mathew Mar 2010 B1
RE41546 Vainstein Aug 2010 E
7854009 Kim Dec 2010 B2
7921284 Kinghorn Apr 2011 B1
7930756 Crocker Apr 2011 B1
8079081 Lavrik Dec 2011 B1
8141127 Mustafa Mar 2012 B1
8279106 Wittenberg Oct 2012 B1
8359643 Low Jan 2013 B2
8365254 Burke Jan 2013 B2
8438633 Backholm May 2013 B1
8595501 Rose Nov 2013 B2
8625796 Ben Ayed Jan 2014 B1
8631048 Davis Jan 2014 B1
8646060 Ben Ayed Feb 2014 B1
8654672 Nicholas Feb 2014 B1
8683052 Brinskelle Mar 2014 B1
8713690 Harada Apr 2014 B2
8769610 Giguiere Jul 2014 B1
8782782 Dicovitsky Jul 2014 B1
8793776 Jackson Jul 2014 B1
8798645 Haney Aug 2014 B2
8799674 Leighton Aug 2014 B1
8819769 van Dijk Aug 2014 B1
8832801 Ganesan Sep 2014 B1
8849255 Choti Sep 2014 B2
8875263 van Dijk Oct 2014 B1
8909415 Hawley Dec 2014 B1
8996860 Roth Mar 2015 B1
9002750 Chu Apr 2015 B1
9009805 Kirkby Apr 2015 B1
9030351 Fox May 2015 B2
9031714 Everett May 2015 B1
9032501 Martin May 2015 B1
9038148 Roth May 2015 B1
9106682 Foley Aug 2015 B2
9112849 Werkelin Ahlin Aug 2015 B1
9160742 Ackerman Oct 2015 B1
9166961 Johansson Oct 2015 B1
9172709 Dean Oct 2015 B2
9203818 Roth Dec 2015 B1
9203837 Pierson Dec 2015 B2
9240986 Ackerman Jan 2016 B1
9264418 Crosley Feb 2016 B1
9288190 Brinskelle Mar 2016 B1
9313208 Letz Apr 2016 B1
9386006 Maldaner Jul 2016 B1
9401926 Dubow Jul 2016 B1
9455972 Dotan Sep 2016 B1
9479512 Castro Oct 2016 B2
9491155 Johansson Nov 2016 B1
9503452 Kumar Nov 2016 B1
9531710 Deutschmann Dec 2016 B2
9537845 Juels Jan 2017 B1
9553757 Roth Jan 2017 B1
9553867 Kahol Jan 2017 B2
9565200 Bacastow Feb 2017 B2
9576147 McClintock Feb 2017 B1
9602508 Mahaffey Mar 2017 B1
9613535 Borri Apr 2017 B2
9646300 Zhou May 2017 B1
9679152 Young Jun 2017 B1
9680812 Emaminouri Jun 2017 B1
9692751 Frohman Jun 2017 B1
9716743 Mickens Jul 2017 B2
9755834 Johnson Sep 2017 B1
9773119 Sinha Sep 2017 B2
9781126 Winn Oct 2017 B1
9787671 Bogrett Oct 2017 B1
9819663 Gauda Nov 2017 B1
9820146 Gross Nov 2017 B2
9825925 Hore Nov 2017 B2
9825934 Alexander Nov 2017 B1
9871778 Taralika Jan 2018 B1
9871874 Diem Jan 2018 B2
9894199 Wiechman Feb 2018 B1
9906519 Kotamraju Feb 2018 B1
9923885 Dorfman Mar 2018 B2
9928839 Lester Mar 2018 B1
9942222 Fenton Apr 2018 B1
10026245 Warren Jul 2018 B2
10069817 Forguson Sep 2018 B2
10075334 Kozura Sep 2018 B1
10075435 Byrd Sep 2018 B1
10075473 Ruppin Sep 2018 B2
10084600 Irwan Sep 2018 B1
10147502 Paffel Dec 2018 B2
10148694 Sarin Dec 2018 B1
10158634 Votaw Dec 2018 B2
10158639 Goben Dec 2018 B1
10205718 Chang Feb 2019 B1
10212157 Dolan Feb 2019 B2
10217375 Waldron Feb 2019 B2
10218506 Bhabbur Feb 2019 B1
10262129 Gupta Apr 2019 B1
10270592 Ghetti Apr 2019 B1
10272570 Storr Apr 2019 B2
10275140 Miller Apr 2019 B1
10284541 Subramanian May 2019 B1
10289390 Samatov May 2019 B2
10298556 Lasi May 2019 B2
10326733 Bokare Jun 2019 B2
10341304 Boutros Jul 2019 B1
10354093 Farber Jul 2019 B1
10375060 Graves Aug 2019 B1
10389735 Bhattacharjya Aug 2019 B1
10410016 Damick Sep 2019 B1
10430786 Camacho Oct 2019 B1
10469457 Sokolov Nov 2019 B1
10469506 Salkini Nov 2019 B2
10469644 Rao Nov 2019 B1
10484430 Prasad Nov 2019 B2
10505925 Doloff Dec 2019 B1
10541981 Conley Jan 2020 B1
10553090 Tolliver Feb 2020 B1
10554657 Siddiqui Feb 2020 B1
D877757 Elder Mar 2020 S
10609041 Wilczynski Mar 2020 B1
10623390 Rosenhouse Apr 2020 B1
10623575 Synal Apr 2020 B1
10630648 Borunda Apr 2020 B1
10630937 Low Apr 2020 B1
10657242 Xia May 2020 B1
10666657 Threlkeld May 2020 B1
10673862 Threlkeld Jun 2020 B1
10715514 Threlkeld Jul 2020 B1
10721226 Kurani Jul 2020 B1
10742831 Haapanen Aug 2020 B1
10762183 Charan Sep 2020 B1
10771468 Walker Sep 2020 B1
10783261 Gu Sep 2020 B1
10798079 Miramonti Oct 2020 B2
10817619 Kolli Oct 2020 B1
10885220 Sharma Jan 2021 B2
10887307 Newstadt Jan 2021 B1
10904024 Skiff Jan 2021 B2
10922425 Gollogly Feb 2021 B2
10924473 Genner Feb 2021 B2
10949541 Joshi Mar 2021 B1
10958649 Delcourt Mar 2021 B2
10958662 Sole Mar 2021 B1
10979423 Garner, IV Apr 2021 B1
10990584 Basak Apr 2021 B1
10999262 Ramanujan May 2021 B1
11019053 Hamel May 2021 B2
11039314 Tali Jun 2021 B2
11044246 Freeling Jun 2021 B1
11050691 DePue Jun 2021 B1
11093944 Tesser Aug 2021 B1
11128464 Loladia Sep 2021 B1
11190516 Loladia Nov 2021 B1
11196555 Mouraveiko Dec 2021 B1
11233799 Whyte Jan 2022 B1
11238683 Mars Feb 2022 B1
11240025 Wentz Feb 2022 B2
11250055 Micucci Feb 2022 B2
11283884 Mercadie Mar 2022 B2
11316862 Pate Apr 2022 B1
11327642 Miller May 2022 B1
11328354 Maeng May 2022 B1
11334069 Buerger May 2022 B1
11356259 Agnew Jun 2022 B1
11386412 Brandt Jul 2022 B1
11463934 Kwon Oct 2022 B1
11481837 Brandt Oct 2022 B1
11522842 Lee Dec 2022 B2
11539709 Bhaskar S Dec 2022 B2
11552799 Parikh Jan 2023 B1
11558365 McCorkendale Jan 2023 B1
11586711 Smith Feb 2023 B2
11593826 Chen Feb 2023 B1
11605144 Miller Mar 2023 B1
11663350 Demonsant May 2023 B2
11736468 Lowe Aug 2023 B2
11748834 Miller Sep 2023 B1
11818111 Debolt Nov 2023 B1
11823121 Moore Nov 2023 B2
11997219 Russell May 2024 B1
12001306 Gandhi Jun 2024 B2
20020053020 Teijido May 2002 A1
20020091975 Redlich Jul 2002 A1
20020099959 Redlich Jul 2002 A1
20020184344 Elvanoglu Dec 2002 A1
20020194350 Lu Dec 2002 A1
20030051054 Redlich Mar 2003 A1
20030084168 Erickson May 2003 A1
20030120949 Redlich Jun 2003 A1
20030140256 Hauenstein Jul 2003 A1
20030182435 Redlich Sep 2003 A1
20030196108 Kung Oct 2003 A1
20030204626 Wheeler Oct 2003 A1
20040030492 Fox Feb 2004 A1
20040038667 Vance, Jr. Feb 2004 A1
20040068446 Do Apr 2004 A1
20040111639 Schwartz Jun 2004 A1
20040186989 Clapper Sep 2004 A1
20050005110 Kim Jan 2005 A1
20050052714 Klug Mar 2005 A1
20050066192 Handy Bosma Mar 2005 A1
20050076199 Thornton Apr 2005 A1
20050096065 Fleischman May 2005 A1
20050102526 Davey May 2005 A1
20050138110 Redlich Jun 2005 A1
20050182767 Shoemaker Aug 2005 A1
20050195096 Ward Sep 2005 A1
20050210009 Tran Sep 2005 A1
20050216770 Rowett Sep 2005 A1
20050240418 Chappuis Oct 2005 A1
20060059333 Gentry Mar 2006 A1
20060075228 Black Apr 2006 A1
20060102717 Wood May 2006 A1
20060117372 Hopkins Jun 2006 A1
20060143136 Low Jun 2006 A1
20060184801 Wood Aug 2006 A1
20060238406 Nohara Oct 2006 A1
20070050239 Caneva Mar 2007 A1
20070073673 McVeigh Mar 2007 A1
20070106434 Galbraith, II May 2007 A1
20070112580 Tang-Talpin May 2007 A1
20070123122 Puzella May 2007 A1
20070124382 Hughes May 2007 A1
20070136603 Kuecuekyan Jun 2007 A1
20070143860 Hardt Jun 2007 A1
20070186105 Bailey Aug 2007 A1
20070208725 Gilger Sep 2007 A1
20070262874 Sumrall Nov 2007 A1
20070288208 Grigsby Dec 2007 A1
20070300306 Hussain Dec 2007 A1
20080016344 Holden Jan 2008 A1
20080066185 Lester Mar 2008 A1
20080109470 McGee May 2008 A1
20080141333 Chen Jun 2008 A1
20080150788 Sumrall Jun 2008 A1
20080168135 Redlich Jul 2008 A1
20080215298 Haney Sep 2008 A1
20090006256 Lazovsky Jan 2009 A1
20090015460 Fox Jan 2009 A1
20090017853 Ozog Jan 2009 A1
20090055477 Flesher Feb 2009 A1
20090087029 Coleman Apr 2009 A1
20090100165 Wesley, Sr. Apr 2009 A1
20090201380 Peaslee Aug 2009 A1
20090216775 Ratliff Aug 2009 A1
20090222527 Arconati Sep 2009 A1
20090234499 Nielsen Sep 2009 A1
20090240481 Durrant-Whyte Sep 2009 A1
20090248789 Fong Oct 2009 A1
20090255763 Nieboer Oct 2009 A1
20090259611 Wang Oct 2009 A1
20090281850 Bruce Nov 2009 A1
20090300350 Gai Dec 2009 A1
20090323087 Luo Dec 2009 A1
20100010968 Redlich Jan 2010 A1
20100027521 Huber Feb 2010 A1
20100031342 Vogsland Feb 2010 A1
20100082981 Church Apr 2010 A1
20100122334 Stanzione May 2010 A1
20100191613 Raleigh Jul 2010 A1
20100241698 Hillerbrand Sep 2010 A1
20100241844 Hussain Sep 2010 A1
20100250003 Nieboer Sep 2010 A1
20100257028 Hillerbrand Oct 2010 A1
20100257587 Chazin Oct 2010 A1
20100280755 Pillsbury Nov 2010 A1
20100291899 Machani Nov 2010 A1
20100305806 Hawley Dec 2010 A1
20100313146 Nielsen Dec 2010 A1
20100321156 Pitt Dec 2010 A1
20100325156 Plainfield Dec 2010 A1
20110007157 Sekelsky Jan 2011 A1
20110041170 Wankmueller Feb 2011 A1
20110047230 McGee Feb 2011 A1
20110054689 Nielsen Mar 2011 A1
20110066606 Fox Mar 2011 A1
20110066851 Bello Mar 2011 A1
20110067086 Nachenberg Mar 2011 A1
20110077001 Brown Mar 2011 A1
20110106759 Brown, III May 2011 A1
20110125844 Collier May 2011 A1
20110145593 Auradkar Jun 2011 A1
20110169634 Raj Jul 2011 A1
20110173443 Osterwalder Jul 2011 A1
20110191237 Faith Aug 2011 A1
20110197218 Wagner Aug 2011 A1
20110202466 Carter Aug 2011 A1
20110202755 Orsini Aug 2011 A1
20110231921 Narayanan Sep 2011 A1
20110257956 Goel Oct 2011 A1
20110276604 Hom Nov 2011 A1
20110311111 Allburn Dec 2011 A1
20120011126 Park Jan 2012 A1
20120011141 Park Jan 2012 A1
20120022942 Holloway Jan 2012 A1
20120030733 Andrews Feb 2012 A1
20120044043 Nettleton Feb 2012 A1
20120046818 Nettleton Feb 2012 A1
20120046927 Nettleton Feb 2012 A1
20120046983 Nettleton Feb 2012 A1
20120053703 Nettleton Mar 2012 A1
20120053775 Nettleton Mar 2012 A1
20120060030 Lamb Mar 2012 A1
20120072979 Cha Mar 2012 A1
20120079034 Farrell Mar 2012 A1
20120094697 Conner Apr 2012 A1
20120136954 Davis May 2012 A1
20120140767 Brothers Jun 2012 A1
20120185911 Polite Jul 2012 A1
20120202459 Martell Aug 2012 A1
20120231787 Conner Sep 2012 A1
20120304085 Kim Nov 2012 A1
20120311686 Medina Dec 2012 A1
20120317239 Mulder Dec 2012 A1
20130007123 Crosbie Jan 2013 A1
20130097688 Bradley, II Apr 2013 A1
20130098309 Nohara Apr 2013 A1
20130117802 Fendt May 2013 A1
20130167193 Brookins Jun 2013 A1
20130187834 Nohara Jul 2013 A1
20130191929 Yin Jul 2013 A1
20130198197 Sawhney Aug 2013 A1
20130198509 Buruganahalli Aug 2013 A1
20130226800 Patel Aug 2013 A1
20130232543 Cheng Sep 2013 A1
20130246396 Clare Sep 2013 A1
20130254831 Roach Sep 2013 A1
20130287290 Owechko Oct 2013 A1
20130298209 Targali Nov 2013 A1
20130321458 Miserendino Dec 2013 A1
20130325787 Gerken Dec 2013 A1
20140007157 Harrison Jan 2014 A1
20140007195 Gupta Jan 2014 A1
20140007205 Oikonomou Jan 2014 A1
20140020073 Ronda Jan 2014 A1
20140038511 Hall Feb 2014 A1
20140047234 Davis Feb 2014 A1
20140047356 Ameller-Van-Baumberghen Feb 2014 A1
20140047556 Davis Feb 2014 A1
20140075514 Prasad Mar 2014 A1
20140097979 Nohara Apr 2014 A1
20140108156 Hillerbrand Apr 2014 A1
20140123237 Gaudet May 2014 A1
20140129511 Bramel May 2014 A1
20140129936 Richards May 2014 A1
20140137206 Hansmann May 2014 A1
20140137208 Harts May 2014 A1
20140137223 Wagner May 2014 A1
20140148123 Raleigh May 2014 A1
20140157392 Smith Jun 2014 A1
20140162598 Villa-Real Jun 2014 A1
20140165189 Foley Jun 2014 A1
20140173693 Bikkula Jun 2014 A1
20140173695 Valdivia Jun 2014 A1
20140187190 Schuler Jul 2014 A1
20140189802 Montgomery Jul 2014 A1
20140196104 Chari Jul 2014 A1
20140196115 Pelykh Jul 2014 A1
20140210658 Ponsford Jul 2014 A1
20140214469 Callow Jul 2014 A1
20140222941 Tabone Aug 2014 A1
20140225590 Jacobs Aug 2014 A1
20140282911 Bare Sep 2014 A1
20140282934 Miasnik Sep 2014 A1
20140283120 Mao Sep 2014 A1
20140297386 Allen Oct 2014 A1
20140315571 Saari Oct 2014 A1
20140337503 Hefetz Nov 2014 A1
20140337921 Hanna, Jr. Nov 2014 A1
20140358252 Ellsworth Dec 2014 A1
20140359299 Jaundalders Dec 2014 A1
20140359744 Hillis Dec 2014 A1
20140373099 Durbha Dec 2014 A1
20140380453 Alonso Cebrian Dec 2014 A1
20150006346 Amancherla Jan 2015 A1
20150020162 Hefetz Jan 2015 A1
20150020213 Decouteau Jan 2015 A1
20150026757 Reddy Jan 2015 A1
20150029332 Milstead Jan 2015 A1
20150033297 Sanso Jan 2015 A1
20150074742 Kohno Mar 2015 A1
20150101022 Zent Apr 2015 A1
20150106882 Li Apr 2015 A1
20150106883 Miller Apr 2015 A1
20150106888 Cheng Apr 2015 A1
20150106895 Barbir Apr 2015 A1
20150121462 Courage Apr 2015 A1
20150131499 Hall May 2015 A1
20150131754 Whitaker May 2015 A1
20150145991 Russell May 2015 A1
20150154543 Skaaksrud Jun 2015 A1
20150156206 Redlich Jun 2015 A1
20150163206 McCarthy Jun 2015 A1
20150172294 Bittner Jun 2015 A1
20150172920 Ben Ayed Jun 2015 A1
20150179028 Bairaktaris Jun 2015 A1
20150180857 Schulman Jun 2015 A1
20150186635 Nakhjiri Jul 2015 A1
20150188900 Charbonneau Jul 2015 A1
20150200922 Eschbach Jul 2015 A1
20150200940 Pace Jul 2015 A1
20150204973 Nohara Jul 2015 A1
20150205878 Fox Jul 2015 A1
20150215312 Cesnik Jul 2015 A1
20150237073 Lang Aug 2015 A1
20150242619 Bender Aug 2015 A1
20150242839 Sanchez Aug 2015 A1
20150249651 Okamoto Sep 2015 A1
20150254655 Bondesen Sep 2015 A1
20150257007 Solondz Sep 2015 A1
20150281204 Ellis Oct 2015 A1
20150294047 Walsh Oct 2015 A1
20150295751 Caison Oct 2015 A1
20150295917 Platt Oct 2015 A1
20150310043 Adelman Oct 2015 A1
20150326577 Carlson Nov 2015 A1
20150332424 Kane Nov 2015 A1
20150334207 Kane Nov 2015 A1
20150350960 Qiang Dec 2015 A1
20150365246 Kane Dec 2015 A1
20160004882 Ballai Jan 2016 A1
20160007198 Lacey Jan 2016 A1
20160021093 Vinckier Jan 2016 A1
20160021117 Harmon Jan 2016 A1
20160055188 Goel Feb 2016 A1
20160057168 Reddock Feb 2016 A1
20160057626 O'Toole Feb 2016 A1
20160065588 Wheeler Mar 2016 A1
20160072796 Adam Mar 2016 A1
20160080347 Rappaport Mar 2016 A1
20160080397 Bacastow Mar 2016 A1
20160094528 Gordon Mar 2016 A1
20160100346 Hall Apr 2016 A1
20160105425 Clausen Apr 2016 A1
20160110433 Sawhney Apr 2016 A1
20160119424 Kane Apr 2016 A1
20160134633 Gaddam May 2016 A1
20160142509 Shen May 2016 A1
20160142532 Bostick May 2016 A1
20160154982 Velusamy Jun 2016 A1
20160164880 Colesa Jun 2016 A1
20160164904 Alamuri Jun 2016 A1
20160173593 Kesavan Jun 2016 A1
20160174031 Smith Jun 2016 A1
20160241532 Loughlin-McHugh Aug 2016 A1
20160246989 Roy Aug 2016 A1
20160253521 Esmailzadeh Sep 2016 A1
20160253907 Taveira Sep 2016 A1
20160261698 Thompson Sep 2016 A1
20160277383 Guyomarc'h Sep 2016 A1
20160277395 Palzón Romero Sep 2016 A1
20160277396 Gardiner Sep 2016 A1
20160285551 Mateti Sep 2016 A1
20160285893 Childress Sep 2016 A1
20160294845 Jackson Oct 2016 A1
20160307196 Achhra Oct 2016 A1
20160307286 Miasnik Oct 2016 A1
20160316723 Wall Nov 2016 A1
20160321652 Dimmick Nov 2016 A1
20160328707 Wagner Nov 2016 A1
20160330183 McDowell Nov 2016 A1
20160337346 Momchilov Nov 2016 A1
20160337353 Coats Nov 2016 A1
20160337369 Sanso Nov 2016 A1
20160343093 Riland Nov 2016 A1
20160352867 Subbarayan Dec 2016 A1
20160364163 Kamble Dec 2016 A1
20160379013 Ganesan Dec 2016 A1
20160379220 Tunnell Dec 2016 A1
20170041146 Davis Feb 2017 A1
20170041388 Tal Feb 2017 A1
20170046506 Fujii Feb 2017 A1
20170048275 John Feb 2017 A1
20170054734 Sigal Feb 2017 A1
20170063755 Pulfer Mar 2017 A1
20170063840 Krishnaiah Mar 2017 A1
20170070500 Hockey Mar 2017 A1
20170078259 Kumar Mar 2017 A1
20170083901 Spencer, II Mar 2017 A1
20170091757 Lloyd Mar 2017 A1
20170093481 Cannon Mar 2017 A1
20170093817 Khoury Mar 2017 A1
20170093878 Rodniansky Mar 2017 A1
20170099344 Hadfield Apr 2017 A1
20170104756 Rosenthal Apr 2017 A1
20170104833 Suri Apr 2017 A1
20170111365 Michael Apr 2017 A1
20170118201 Hoyer Apr 2017 A1
20170118214 Vainstein Apr 2017 A1
20170126660 Brannon May 2017 A1
20170126661 Brannon May 2017 A1
20170126681 Barrett May 2017 A1
20170132186 Plummer May 2017 A1
20170134392 Chattopadhyay May 2017 A1
20170142128 McCormack May 2017 A1
20170142562 Stewart May 2017 A1
20170147795 Sardesai May 2017 A1
20170161443 Bassham Jun 2017 A1
20170163652 Peppe Jun 2017 A1
20170163654 Peppe Jun 2017 A1
20170163655 Ramalingam Jun 2017 A1
20170171183 Lingappa Jun 2017 A1
20170178420 Byrd, Jr. Jun 2017 A1
20170180343 De Ganon Jun 2017 A1
20170187700 Rangaraj Jun 2017 A1
20170195386 Nathan Jul 2017 A1
20170195879 Jones-McFadden Jul 2017 A1
20170201518 Holmqvist Jul 2017 A1
20170220012 Hart Aug 2017 A1
20170220813 Mullins Aug 2017 A1
20170221059 Sethi Aug 2017 A1
20170223026 Amiri Aug 2017 A1
20170223057 Amiri Aug 2017 A1
20170236347 Drako Aug 2017 A1
20170243195 Xing Aug 2017 A1
20170255932 Aabye Sep 2017 A1
20170257379 Weintraub Sep 2017 A1
20170262833 Xing Sep 2017 A1
20170263130 Sane Sep 2017 A1
20170264681 Apte Sep 2017 A1
20170280107 Wood Sep 2017 A1
20170302459 Fenner Oct 2017 A1
20170315790 Samatov Nov 2017 A1
20170316418 Sarin Nov 2017 A1
20170324750 Khan Nov 2017 A1
20170331828 Caldera Nov 2017 A1
20170331901 Sarlandie de la Robertie Nov 2017 A1
20170346804 Beecham Nov 2017 A1
20170346851 Drake Nov 2017 A1
20170351855 Allen Dec 2017 A1
20170353445 Steeves Dec 2017 A1
20170353458 Lipke Dec 2017 A1
20170363774 Jiang Dec 2017 A1
20170366443 Fouad Dec 2017 A1
20170366547 Goldfarb Dec 2017 A1
20170372080 Gordon Dec 2017 A1
20180005072 Justice Jan 2018 A1
20180026984 Maker Jan 2018 A1
20180039771 Konstantinov Feb 2018 A1
20180048631 Waltermann Feb 2018 A1
20180048735 Drouin Feb 2018 A1
20180059660 Heatzig Mar 2018 A1
20180063709 Morrison Mar 2018 A1
20180075229 Jan Mar 2018 A1
20180089320 Hanson Mar 2018 A1
20180089449 Boudreau Mar 2018 A1
20180089916 Drako Mar 2018 A1
20180096153 DeWitte Apr 2018 A1
20180097790 Caldera Apr 2018 A1
20180109430 Quintas Apr 2018 A1
20180109507 Caldera Apr 2018 A1
20180114361 Carrington Apr 2018 A1
20180115551 Cole Apr 2018 A1
20180121683 Goldberg May 2018 A1
20180123794 Goranov May 2018 A1
20180131684 Standefer, III May 2018 A1
20180131726 Arumugam May 2018 A1
20180137199 Miller May 2018 A1
20180139049 Goranov May 2018 A1
20180144178 Han May 2018 A1
20180146046 Deane May 2018 A1
20180146371 Albanese May 2018 A1
20180150892 Waldron May 2018 A1
20180150899 Waldron May 2018 A1
20180152845 Unnerstall May 2018 A1
20180159838 Dintenfass Jun 2018 A1
20180162501 Peterson Jun 2018 A1
20180165781 Rodriguez Jun 2018 A1
20180176017 Rodriguez Jun 2018 A1
20180191733 Kundu Jul 2018 A1
20180204399 Newman Jul 2018 A1
20180212975 Bandi Jul 2018 A1
20180218057 Beckham Aug 2018 A1
20180219683 Deery Aug 2018 A1
20180234351 Amento Aug 2018 A1
20180241480 Hughes Aug 2018 A1
20180248887 Sayed Aug 2018 A1
20180255211 Kniffen Sep 2018 A1
20180262510 Su Sep 2018 A1
20180262907 Alanis Sep 2018 A1
20180276395 Bostick Sep 2018 A1
20180276666 Haldenby Sep 2018 A1
20180288031 Kumar Oct 2018 A1
20180290748 Corban Oct 2018 A1
20180293373 Johnson Oct 2018 A1
20180300678 Drako Oct 2018 A1
20180303003 Meinhart Oct 2018 A1
20180313975 Chen Nov 2018 A1
20180316665 Caldera Nov 2018 A1
20180324163 Dumanois Nov 2018 A1
20180336069 Soni Nov 2018 A1
20180337795 Katrak Nov 2018 A1
20180343246 Benayed Nov 2018 A1
20180343257 Frankel Nov 2018 A1
20180349920 Katib Dec 2018 A1
20180349938 Ericson Dec 2018 A1
20180375847 Schropfer Dec 2018 A1
20190007398 Jaladi Jan 2019 A1
20190014097 Hwang Jan 2019 A1
20190014118 Pugh Jan 2019 A1
20190020478 Girish Jan 2019 A1
20190034602 Votaw Jan 2019 A1
20190036887 Miller Jan 2019 A1
20190036938 Sander Jan 2019 A1
20190037370 Beller Jan 2019 A1
20190067812 Abuasabeh Feb 2019 A1
20190081958 Lee Mar 2019 A1
20190089688 Rathineswaran Mar 2019 A1
20190089757 Sorensen Mar 2019 A1
20190094051 Hoffmann Mar 2019 A1
20190098505 Mars Mar 2019 A1
20190109713 Clark Apr 2019 A1
20190114549 Olsher Apr 2019 A1
20190116169 Bolotov Apr 2019 A1
20190116187 Gahnoog Apr 2019 A1
20190123901 Vijayanarayanan Apr 2019 A1
20190130123 Ben-Yair May 2019 A1
20190138747 Anderson May 2019 A1
20190141021 Isaacson May 2019 A1
20190141026 Kshirsagar May 2019 A1
20190149547 Dubodelov May 2019 A1
20190158492 Zavesky May 2019 A1
20190166159 Avrahami May 2019 A1
20190171832 Dowlatkhah Jun 2019 A1
20190208420 Lekkas Jul 2019 A1
20190219703 Schreib Jul 2019 A1
20190228429 Mottur Jul 2019 A1
20190230070 Isaacson Jul 2019 A1
20190239043 Palin Aug 2019 A1
20190244485 Jones Aug 2019 A1
20190247741 Arias Aug 2019 A1
20190248328 Eriksen Aug 2019 A1
20190253130 Bagnall Aug 2019 A1
20190260586 Wu Aug 2019 A1
20190260725 Moran Aug 2019 A1
20190268332 Wang Aug 2019 A1
20190274046 Lierman Sep 2019 A1
20190281030 Isaacson Sep 2019 A1
20190281066 Simons Sep 2019 A1
20190303552 Houseworth Oct 2019 A1
20190303909 De la Torre Oct 2019 A1
20190306224 Nuggehalli Oct 2019 A1
20190311147 Gollogly Oct 2019 A1
20190312733 Engan Oct 2019 A1
20190318119 Anneboina Oct 2019 A1
20190318122 Hockey Oct 2019 A1
20190318333 Castinado Oct 2019 A1
20190319945 Levy Oct 2019 A1
20190324456 Ryan Oct 2019 A1
20190325654 Stisser Oct 2019 A1
20190332795 Woodward Oct 2019 A1
20190340369 Hadi Nov 2019 A1
20190342759 Mahaffey Nov 2019 A1
20190378364 Drako Dec 2019 A1
20190379673 Coonrod Dec 2019 A1
20190394041 Jain Dec 2019 A1
20200007316 Krishnamacharya Jan 2020 A1
20200007333 Young Jan 2020 A1
20200028841 Mars Jan 2020 A1
20200036708 Mars Jan 2020 A1
20200036709 Mars Jan 2020 A1
20200042837 Skinner Feb 2020 A1
20200042971 Eby Feb 2020 A1
20200051115 Lawrence Feb 2020 A1
20200052896 Acharya Feb 2020 A1
20200058023 Travizano Feb 2020 A1
20200067918 Brachetti Feb 2020 A1
20200074105 Gordon Mar 2020 A1
20200082728 Buchanan Mar 2020 A1
20200089680 Mital Mar 2020 A1
20200092285 Graham Mar 2020 A1
20200093403 De La Fuente Sanchez Mar 2020 A1
20200097679 Fisse Mar 2020 A1
20200104519 Farber Apr 2020 A1
20200106766 Suraparaju Apr 2020 A1
20200112557 McCullough, IV Apr 2020 A1
20200112589 Chauhan Apr 2020 A1
20200117472 Willoughby Apr 2020 A1
20200117605 Cornett Apr 2020 A1
20200128395 Mars Apr 2020 A1
20200128396 Mars Apr 2020 A1
20200134219 Dhanabalan Apr 2020 A1
20200134750 Wolf Apr 2020 A1
20200137041 DeGennaro Apr 2020 A1
20200145816 Morin May 2020 A1
20200159946 Castinado May 2020 A1
20200162432 Ludin May 2020 A1
20200169567 Queen May 2020 A1
20200177576 Vudathu Jun 2020 A1
20200177606 Valluri Jun 2020 A1
20200186520 Oberheide Jun 2020 A1
20200195618 Linton Jun 2020 A1
20200195656 Marsh Jun 2020 A1
20200201964 Nandakumar Jun 2020 A1
20200202036 Baruch Jun 2020 A1
20200204358 Nandakumar Jun 2020 A1
20200213114 Sarin Jul 2020 A1
20200213292 Cage Jul 2020 A1
20200213319 Bowie Jul 2020 A1
20200213329 Simons Jul 2020 A1
20200234014 Swallow Jul 2020 A1
20200236607 Zhu Jul 2020 A1
20200242232 Machani Jul 2020 A1
20200244464 McLean Jul 2020 A1
20200250719 Shah Aug 2020 A1
20200252400 Pike Aug 2020 A1
20200279255 Douglas Sep 2020 A1
20200288308 Jimenez Sep 2020 A1
20200296093 Hoyos Sep 2020 A1
20200314068 Werner Oct 2020 A1
20200320204 Venable, Sr. Oct 2020 A1
20200320211 Moore Oct 2020 A1
20200327550 Yamane Oct 2020 A1
20200329018 Tali Oct 2020 A1
20200334588 Colon Oct 2020 A1
20200351657 Wentz Nov 2020 A1
20200356774 Korn Nov 2020 A1
20200364358 Karia Nov 2020 A1
20200364720 Lally Nov 2020 A1
20200366669 Gupta Nov 2020 A1
20200371764 Sousa Nov 2020 A1
20200374267 Shepard Nov 2020 A1
20200374697 Higley Nov 2020 A1
20200377234 Catledge Dec 2020 A1
20200387904 Gosalia Dec 2020 A1
20200389319 Wise Dec 2020 A1
20200395104 Raul Dec 2020 A1
20200412731 Gulbrandsen Dec 2020 A1
20210004463 Todasco Jan 2021 A1
20210004486 Adams Jan 2021 A1
20210011957 Lenzner Jan 2021 A1
20210019434 Bibliowicz Jan 2021 A1
20210021423 Latorre Jan 2021 A1
20210029107 Parkinson Jan 2021 A1
20210029132 Wilczynski Jan 2021 A1
20210029163 Behl Jan 2021 A1
20210044597 Rahman Feb 2021 A1
20210056236 Russinovich Feb 2021 A1
20210058377 Khan Feb 2021 A1
20210075613 Pandey Mar 2021 A1
20210075794 Gazit Mar 2021 A1
20210075832 Bisztrai Mar 2021 A1
20210092604 Fox Mar 2021 A1
20210094703 Catledge Apr 2021 A1
20210097118 Cudak Apr 2021 A1
20210097166 Arora Apr 2021 A1
20210097188 Findlay Apr 2021 A1
20210097189 Miller Apr 2021 A1
20210097542 Khan Apr 2021 A1
20210125109 Handler Apr 2021 A1
20210136111 Russinovich May 2021 A1
20210168181 Sevim Jun 2021 A1
20210174355 Gupta Jun 2021 A1
20210179073 Todor Jun 2021 A1
20210185526 Grewal Jun 2021 A1
20210209202 Dande Jul 2021 A1
20210211289 Lin Jul 2021 A1
20210211430 Dande Jul 2021 A1
20210218773 Prakash Jul 2021 A1
20210226794 Axdorff Jul 2021 A1
20210233383 Roark Jul 2021 A1
20210286857 Guillon Sep 2021 A1
20210288808 Bahety Sep 2021 A1
20210289047 Pathak Sep 2021 A1
20210289576 Cheaz Sep 2021 A1
20210295851 Merkel Sep 2021 A1
20210297406 Landers Sep 2021 A1
20210306344 Han Sep 2021 A1
20210319639 Ho Oct 2021 A1
20210342480 Kogan Nov 2021 A1
20210352134 Bjontegard Nov 2021 A1
20210365968 Narula Nov 2021 A1
20210374485 Pilcher Dec 2021 A1
20210377240 Beemer Dec 2021 A1
20220076556 Lindenau Mar 2022 A1
20220078281 Lindenau Mar 2022 A1
20220086132 Tesson Mar 2022 A1
20220091289 Tinker Mar 2022 A1
20220130264 Krawiec Apr 2022 A1
20220157178 Grace May 2022 A1
20220197236 Krawiec Jun 2022 A1
20220252718 Nohara Aug 2022 A1
20220286845 Vanoss Sep 2022 A1
20230006988 Menth Jan 2023 A1
20230049550 Roy Feb 2023 A1
20230056136 Webber Feb 2023 A1
20230109545 Wilkerson Apr 2023 A1
20230111177 Noel Apr 2023 A1
20230342776 O'Kane Oct 2023 A1
Foreign Referenced Citations (3)
Number Date Country
105791259 Jul 2016 CN
WO-2019246568 Dec 2019 WO
WO-2021198721 Oct 2021 WO
Non-Patent Literature Citations (11)
Entry
Toit “A Model for a Mobile Operating Environment,” Thesis, University of Johannesburg, Oct. 2018, pp. 1-24 (Year: 2018).
Khokhlov “Integrated Framework for Data Quality and Security Evaluation on Mobile Devices,” Dissertation, Rochester Institute of Technology, Rochester, New York, Jun. 1, 2020, pp. 1-199. (Year: 2020).
Balfour Next Generation Emergency Management Common Operating Picture Softwaer/Systems (COPSS), IEEE pp. 1-6 (Year: 2012).
Laaperi et al “Architecture for a System Providing a Common Operating Picture of Critical Infrastructure,” IEEE, pp. 1-6 (Year: 2015).
Conti et al “Towards a Cyber Common Operating Picture,” 2013 5th International Conference on Cyber Conflict, pp. 1-17 (Year: 2013).
Wang et al “Google Patents Translation of CN105791259A,” pp. 1-10 (Year: 2016).
Robertson “Integrity of a Common Operating Picture in Military Situational Awareness,” IEEE, pp. 1-7 (Year: 2014).
Robertson et al “Integrity of a Common Operating Picture in Military Situational Awareness,” IEEE, pp. 1-7 (Year: 2014).
Balfour “Next Generation Emergency Management Common Operating Picture Software/Systems (COPSS),” IEEE, pp. 1-6 (Year: 2012).
Dahnert “HawkEyes: An Advanced IP Geolocation Approach,” IP Geolocation Using Semantic and Measurement Based Techniques, EWI, pp. 1-3 (Year: 2011).
Yu et al “Digital Signature Based on User Role Token and Its Application in E-Government,” IEEE Computer Society, pp. 279-282 (Year: 2009).
Related Publications (1)
Number Date Country
20210377240 A1 Dec 2021 US
Provisional Applications (1)
Number Date Country
63033381 Jun 2020 US