Cybersecurity system having digital certificate reputation system

Information

  • Patent Grant
  • 11516206
  • Patent Number
    11,516,206
  • Date Filed
    Friday, May 1, 2020
    4 years ago
  • Date Issued
    Tuesday, November 29, 2022
    2 years ago
Abstract
A system, method, and computer-readable medium are disclosed for implementing a cybersecurity system having a digital certificate reputation system. At least one embodiment is directed to a computer-implemented method executing operations including receiving a communication having an internet protocol (IP) address and a digital certificate at a device within the secured network; determining whether the IP address is identified as having a high-security risk level; if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address; and using the security risk level for the digital certificate in executing the one or more security policies. Other embodiments include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices.
Description
BACKGROUND OF THE INVENTION
Field of the Invention

The present disclosure relates in general to the field of computers and similar technologies, and in particular to cybersecurity systems utilized in this field. Still more particularly, the disclosure relates to a method, system, and computer-usable medium for assessing security risks for Internet Protocol (IP) addresses using security risk assessments associated with corresponding digital certificates.


Description of the Related Art

Users interact with physical, system, data, and services resources of all kinds, as well as each other, on a daily basis. Each of these interactions, whether accidental or intended, poses some degree of security risk. As an example, security risks are present anytime two or more devices communicate with one another over, for example, the Internet. It is often difficult to discern whether a device is communicating with a trusted site or a malicious site. Lists of malicious IP addresses may be published and used in security policies to prevent communication with malicious sites having those IP addresses.


SUMMARY OF THE INVENTION

A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to implement a cybersecurity system having a digital certificate reputation system. One general aspect includes a computer-implemented method for executing one or more security policies in a secured network. The computer-implemented method includes receiving a communication including an Internet Protocol (IP) address and a digital certificate at a device within the secured network; determining whether the IP address is identified as having a high security risk level; if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address; and using the security risk level for the digital certificate in executing the one or more security policies. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.


Another embodiment is directed to a system including one or more information handling systems, where the one or more information handling systems include: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus; where the computer program code included in one or more of the information handling systems is executable by the processor of the information handling system so that the information handling system, alone or in combination with other information handling systems, executes operations including: receiving a communication including an Internet Protocol ((IP) address and a digital certificate at a device within the secured network; determining whether the IP address is identified as having a high security risk level; if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address; and using the security risk level for the digital certificate in executing the one or more security policies.


Another embodiment is directed to a non-transitory, computer-readable storage medium embodying computer program code comprising executable instructions configured for; receiving a communication including an Internet Protocol ((IP) address and a digital certificate at a device within the secured network; determining whether the ip address is identified as having a high security risk level; if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address; and using the security risk level for the digital certificate in executing the one or more security policies.





BRIEF DESCRIPTION OF THE DRAWINGS

The present invention may be better understood, and its numerous objects, features, and advantages made apparent to those skilled in the art by referencing the accompanying drawings. The use of the same reference number throughout the several figures designates a like or similar element.



FIG. 1 depicts an exemplary client computer in which the disclosed system may be implemented.



FIG. 2 shows an electronic environment in which certain embodiments of the disclosed system may operate.



FIG. 3 is a flowchart depicting exemplary operations that may be executed in certain embodiments of the disclosed system if the received transmission includes a blacklisted IP address or other IP address having a high-security risk level.



FIG. 4 is a flowchart depicting exemplary operations that may be executed if the received transmission does not use a blacklisted IP address or other IP address having a high-security risk level.



FIG. 5 is a flowchart depicting exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate.



FIG. 6 is a flowchart depicting a further set of exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate.



FIG. 7 is a flowchart depicting a further set of exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate.





DETAILED DESCRIPTION

A method, system, and computer-usable medium are disclosed for implementing a cybersecurity system having a digital certificate reputation system that may be used to identify malicious and questionable IP addresses. Certain embodiments of the present disclosure recognize that communications with an IP address can be blocked or limited if the IP address is known to be associated with a malicious site. However, certain embodiments also recognize that many malicious sites (phishing, malware hosting, etc.) frequently change IP addresses. Using techniques like IP address reputation (e.g., blacklisting, graylisting, etc.) falls behind bad actors since the bad actors often change their IP addresses.


Signing malicious code with valid digital certificates is a helpful trick used by attackers to maximize the odds that malware won't be flagged by antivirus solutions and often even by network security appliances. Digitally signed malware can also bypass OS protection mechanisms that install or launch only programs with valid signatures.


Certain embodiments of the present disclosure are implemented with the recognition that digital certificates used in communication with disreputable IP addresses may also be used by an IP address that has been changed by a bad actor, thereby providing one manner of more quickly tracking potentially malicious IP addresses. That is, if a digital certificate has been previously submitted by a malicious IP address, another IP address using the same certificate may present a higher risk that the IP address is malicious and can be treated as such in the security policy of a device or network.


Digital certificates are electronic credentials that bind the identity of the certificate owner to a pair of electronic encryption keys, (one public and one private), that can be used to encrypt and sign information digitally. The main purpose of the digital certificate is to ensure that the public key contained in the digital certificate belongs to the entity to which the certificate was issued. In other words, the digital certificate is used to verify that a person sending a message is who he or she claims to be. The message receiver is thus provided with a public key which the receiver can use to encode a replies back to the sender.


Certain embodiments of the disclosed system also recognize that digital certificates provided from a malicious site may appear to be certified by a valid source, but have inconsistencies that make the digital certificate and corresponding IP addresses questionable. IP addresses using digital certificates having such inconsistencies should be subject to further scrutiny and security policies may be placed in effect that treat the corresponding IP address with a certain degree of caution.


For the purposes of this disclosure, an information handling system may include any instrumentality or aggregate of instrumentalities operable to compute, classify, process, transmit, receive, retrieve, originate, switch, store, display, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, entertainment, or other purposes. For example, an information handling system may be a personal computer, a mobile device such as a tablet or smartphone, a consumer electronic device, a connected “smart device,” a network appliance, a network storage device, a network gateway device, a server or collection of servers or any other suitable device and may vary in size, shape, performance, functionality, and price. The information handling system may include volatile and/or non-volatile memory, and one or more processing resources such as a central processing unit (CPU) or hardware or software control logic. Additional components of the information handling system may include one or more storage systems, one or more wired or wireless interfaces for communicating with other networked devices, external devices, and various input and output (I/O) devices, such as a keyboard, a mouse, a microphone, speakers, a trackpad, a touchscreen and a display device (including a touch-sensitive display device). The information handling system may also include one or more buses operable to transmit communication between the various hardware components.


For the purposes of this disclosure, computer-readable media may include any instrumentality or aggregation of instrumentalities that may retain data and/or instructions for a period of time. Computer-readable media may include, without limitation, storage media such as a direct access storage device (e.g., a hard disk drive or solid-state drive), a sequential access storage device (e.g., a tape disk drive), optical storage device, random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and/or flash memory; as well as communications media such as wires, optical fibers, microwaves, radio waves, and other electromagnetic and/or optical carriers; and/or any combination of the foregoing.



FIG. 1 is a generalized illustration of an information handling system 100 that can be used to implement the system and method of the present invention. The information handling system 100 includes a processor (e.g., central processor unit or “CPU”) 102, input/output (I/O) devices 104, such as a display, a keyboard, a mouse, and associated controllers, a storage system 106, and various other subsystems 108. In various embodiments, the information handling system 100 also includes network port 110 operable to connect to a network 140, which is likewise accessible by a service provider server 142. The information handling system 100 likewise includes system memory 112, which is interconnected to the foregoing via one or more buses 114. System memory 112 further includes an operating system (OS) 116 and, in various embodiments, may also include a certificate reputation system 118. In one embodiment, the information handling system 100 is able to download the certificate reputation system 118 from the service provider server 142. In another embodiment, the certificate reputation system 118 is provided as a service from the service provider server 142.


In various embodiments, the certificate reputation system 118 performs a security protection operation. In certain embodiments, the certificate reputation system 118 improves processor efficiency, and thus the efficiency of the information handling system 100, by facilitating security protection functions. Additionally, the certificate reputation system 118 provides a way of protecting a network system against security threats, thereby enhancing the operation of the network. As will be appreciated, once the information handling system 100 is configured to perform the certificate reputation analysis operations, the information handling system 100 becomes a specialized computing device specifically configured to protect the information handling system 100 and/or a network connected to the information handling system 100 against security threats and is not a general-purpose computing device. Moreover, the implementation of the certificate reputation system 118 on the information handling system 100 improves the functionality of the information handling system 100, providing a useful and concrete result of performing security analytics functions to mitigate security risk.


In certain embodiments, the certificate reputation system 118 includes various components that are used to assign a security risk level to an IP address based on the reputation of the digital certificate using the IP address. In certain embodiments, the certificate reputation system 118 also includes components that are used to check the integrity of the digital certificate and assign a security risk level to the digital certificate. In certain embodiments, digital certificates that may have been compromised may be compared with other digital certificates to assign security risk levels to other digital certificates having the same or similar properties. In certain embodiments, the security risk level of a digital certificate that may have been compromised may be used to assign a corresponding risk level to an IP address using the digital certificate.


As used herein, security risk levels may be expressed in various forms. In one example, security risk levels may be assigned using a function in which the security risk level is located on a generally continuous spectrum of security risk levels. In another example, security risk levels may be assigned using integer values. In another example, security risk levels may be in a binary format where, for example, a true value indicates a high-security risk level, and a false value indicates that the corresponding element does not pose any significant security risk. In another example, security risk levels are binned by, for example, high-security risk, medium-security risk, and low-security risk. It will be recognized in view of the teachings of the present disclosure that various systems may be used individually and/or combined to assign security risk levels to an item.


In certain embodiments, the certificate reputation system 118 includes a plurality of software engines, modules, and datastores that combine to form a system that is capable of assigning security levels to IP addresses based on the digital certificate used by the IP address. In the example shown in FIG. 1, the certificate reputation system 118 includes malicious IP address storage 120. In certain embodiments, the malicious IP address storage 120 includes IP addresses that are known to be associated with a malicious entity. In certain embodiments, the malicious IP address storage 120 may include IP addresses that have been blacklisted and/or greylisted. In certain embodiments, IP addresses in the malicious IP address storage are those that have been provided from an external source tasked with identifying malicious entities. In certain embodiments, the malicious IP address storage 120 may also include IP addresses that have been blacklisted and/or greylisted by the security policies associated with the certificate reputation system 118.


Certain embodiments include digital certificate storage 122. The digital certificate storage 122 may include digital certificates known to be associated with reputable IP addresses as well as digital certificates received from a previously unknown IP address. In certain embodiments, the digital certificate storage 122 may include security risk levels associated with one or more of the stored digital certificates. As explained in further detail herein, the security risk levels assigned to digital certificates in the digital certificate storage 122 may be based on the security risk level of the IP addresses using the digital certificates. Additionally, or on the alternative, the security risk levels assigned to the digital certificates in the digital certificate storage 122 may be based on whether the digital certificate has one or more features in common with a digital certificate that may have been compromised.


In certain embodiments, the IP address and digital certificate received by the information handling system 100 are correlated with one another at an IP address/digital certificate correlation engine 124. In certain embodiments, the correlation engine 124 compares the IP address received in the communication with IP addresses in the malicious IP address storage 120. If the IP address is associated with a malicious entity as per the malicious IP address storage, the corresponding digital certificate is assigned an elevated security risk level as determined by the reputation security policies 126 that are executed by the certificate reputation system 118. In certain embodiments, the digital certificate from the malicious IP address is stored along with its corresponding security risk level in digital certificates storage 122.


In certain embodiments, if the IP address used in a communication is an IP address that is not found in the malicious IP address storage 120, the IP address/digital certificate correlation engine 124 checks whether the corresponding digital certificate has an elevated security risk level as identified in digital certificates storage 122 (e.g., whether the digital certificate was previously used in conjunction with a malicious or high-risk IP address). If the digital certificate has an elevated security risk level, the IP address using the digital certificate may be assigned an elevated security risk level as per reputation security policies 126. IP addresses and their corresponding security risk levels may be stored for further use in an IP address risk level datastore 128. Additionally, or in the alternative, IP addresses using digital certificates that have been previously associated with malicious IP addresses may be stored in the malicious IP address storage 120 depending on reputation security policies 126.


In certain embodiments, a communication using an IP address having an elevated security risk level (as found in IP address risk level datastore 128) may include a digital certificate having an elevated security risk level. In such instances, the communications are handled using reputation security policies 126 associated with a mixed IP address/digital certificate security risks. In certain embodiments, the security policies may assign different weights to the security risk levels of the IP address and digital certificate to determine the appropriate security response to the communication.


In certain embodiments, security risk levels for IP addresses and digital certificates dynamically change as new IP addresses, and new digital certificates are identified in communications received at the information handling system 100. As an example, if a given digital certificate is used by multiple malicious IP addresses, the digital certificate may be given a higher security risk level than a digital certificate that has only been used by one malicious IP address. As a further example, if an IP address has been associated with more than one digital certificate having an elevated security risk level, the IP address may be assigned a higher security risk level than an IP address that has been associated with only one digital certificate having an elevated security risk.


Certain embodiments of the disclosed system include a digital certificate analytics engine 130. In certain embodiments, the digital certificate analytics engine 130 is configured to analyze the contents of digital certificates to determine whether they are counterfeit, or, alternatively, authorized by a reputable certificate authority (CA).


As noted herein, digital certificates are electronic credentials that bind the identity of the certificate owner to a pair of electronic encryption keys, (one public and one private), that can be used to encrypt and sign information digitally. The main purpose of the digital certificate is to ensure that the public key contained in the certificate belongs to the entity to which the certificate was issued, in other words, to verify that a person sending a message is who he or she claims to be, and to then provide the message receiver with the means to encode a reply back to the sender.


Encryption techniques using public and private keys require a public-key infrastructure (PKI) to support the distribution and identification of public keys. Messages can be encrypted with either the public or the private key and then decrypted with the other key. Without certificates, one could send data encrypted with the private key and the public key would be used to decrypt the data, but there would be no assurance that the data was originated by anyone in particular. All the receiver would know is that a valid key pair was used. In essence, a Certificate Authority or CA then is a commonly trusted third party that is relied upon to verify the matching of public keys to identity, e-mail name, or other such information.


The most common digital certificate content complies with the X.509 certificates standard, which includes:

    • Information about the subject a.k.a. Subject Name—“subject” refers to the site represented by the certificate.
    • Information about the certificate issuer/certificate authority (CA)—The CA is the body that issued and signed the certificate.
    • Serial number—this is the serial number assigned by the issuer to this certificate. Each issuer must make sure each certificate it issues has a unique serial number.
    • Version—the X.509 version used by a given certificate.
    • Validity period—The validity period defines the period over which the certificate can still be deemed trustworthy.
    • Signature—This is the digital signature of the entire digital certificate, generated using the certificate issuer's private key.
    • Signature algorithm—The cryptographic signature algorithm used to generate the digital signature (e.g., SHA-1 with RSA Encryption).
    • Public key information—Information about the subject's public key. This includes:
      • the algorithm (e.g., Elliptic Curve Public Key),
      • the key size (e.g., 256 bits),
      • the key usage (e.g., can encrypt, verify, derive), and
      • the public key itself.


In theory, CAs are supposed to exercise due diligence before signing digital certificates submitted to them. The CAs need to verify first whether the information placed on the digital certificates are, in fact, true. This is important because their attestation would, later on, serve as the sole basis that certain websites that are able to present certificates signed by them can be trusted.


A given digital certificate is to be issued to a single entity. However, certain aspects of the disclosed system recognize that there are CAs that issue a digital certificate to a reputable entity, but also issue the same digital certificate to a malicious entity. In certain embodiments, digital certificates that are previously used by malicious IP addresses may be checked to determine whether the digital certificates are indeed valid. If a valid digital certificate is used by a malicious IP address as well as by a known reputable IP address, the valid digital certificate may have been improperly copied or improperly issued to multiple entities and may be treated as such based on reputation security policies 126. In such instances, although the digital certificate itself is valid, the fact that it is also used by a malicious entity indicates that IP addresses using the otherwise valid digital certificate likely present high-security risks.


In certain instances, digital signatures issued by a particular CA may not be backed by a thorough due diligence review of the entity to which the digital certificate issues. The CA, therefore, cannot be trusted to reliably issue its digital certificates to reputable entities. If a digital certificate signed by the CA is used in conjunction with a malicious IP address, then the CA may not be conducting proper due diligence review, and digital certificates issued by the CA present a high-security risk. In certain embodiments, once a digital certificate issued by a given CA is used in conjunction with a malicious IP address, the digital certificate analytics engine 130 may search the digital certificates storage 122 and identify all other digital certificates issued by the given CA. Depending on the reputation security policies 126, the security risk level of all digital certificates issued by the given CA may be elevated.


In certain embodiments, the digital certificate analytics engine 130 may analyze the digital certificates in digital certificates storage 122 to determine whether certificates used by a malicious IP address have characteristics that are similar to other digital certificates in digital certificates storage 122. Digital certificates having characteristics similar to digital certificates used by a malicious IP address may have their security risk level elevated even though the identified digital certificates themselves have not been used by a malicious IP address.


The digital certificate analytics engine 130 may execute a wide range of operations designed to identify digital certificates having characteristics that are common to a digital certificate used by a malicious IP address. Accordingly, the foregoing examples of digital certificate analytics executed by the digital certificate analytics engine 130 are merely examples that are not intended to impose limits on all of the various digital certificate analytics operations that may be executed by the disclosed system.



FIG. 2 shows an electronic environment 200 in which certain embodiments of the disclosed system may operate. The example shown in FIG. 2 includes a plurality of servers 202, 204, 206, 208, and 209 that are in direct communication with endpoint devices 210 over the Internet 212. Further, servers 202, 204, 206, 208, and 209 are in indirect communication with endpoint devices 214 over the Internet 212. More particularly, in the example shown in FIG. 2, communications from servers 202, 204, 206, 208, and 209 are sent over the Internet 212 to an edge device 216 of a network 218. In at least one embodiment, the edge device 216 sends communications received over the Internet 212 to a system server 220 that is configured to execute a certificate reputation system 222. The certificate reputation system 222 in the illustrated embodiment has access to a certificate/IP address risk datastore 224, a malicious IP address datastore 226, and an optional user behavior datastore 228. Additionally, or in the alternative, the certificate reputation system 222 may be executed by the edge device 216.


In certain embodiments, the user behavior datastore 228 includes security risk levels associated with users of the network system. The security risk levels may be based on observation of deviations of a user interactions with the network system from a user's baseline behaviors. As one example, a user may typically access the network 218 during a particular time of day. When that same user accesses the network 218 at a different time, the deviation may be flagged as a potential security risk indicative of the mindset of the user. Similarly, if the user begins accessing system files that the user does not normally access, the deviation may be flagged as a potential security risk indicative of the mindset of the user. It will be recognized, in view of the teachings of the present disclosure, that a wide range of user behaviors may be employed to establish user behavior security risk levels for users of the network 218.


Servers 202, 204, 206, 208, and 209 communicate with the server 220 through edge device 216 using their IP addresses and corresponding digital certificates. The IP addresses and digital certificates are communicated to the edge device 216, which communicates the IP addresses and digital certificates to the server 220 that executes the certificate reputation system 222.


As shown, server 202 uses IP address A and Certificate A in the communications sent to the edge device 216. In certain embodiments, the edge device 216 forwards packets from IP address A to the certificate reputation system 222. In this example, it is assumed that IP address A is not identified as a malicious IP address in the malicious IP address datastore 226. Further, it is assumed that Certificate A has not previously been used with a malicious IP address. As such, certain embodiments of the certificate reputation system 222 may pass communications from a server 202 to a targeted device of endpoint devices 214 without elevating the security risk level for either IP address A or digital certificate A. As such, communications from a server 202 are forwarded to the targeted device in accordance with the established policies stored in the network security policies datastore 230.


In the illustrated example, server 204 uses IP address B and Certificate B in the communications sent to the edge device 216. In certain embodiments, the edge device 216 forwards packets from IP address B to the certificate reputation system 222. In this example, it is assumed that IP address B is identified as a malicious IP address in the malicious IP address datastore 226. Further, it is assumed that Certificate B has not previously been used with a malicious IP address. As such, certain embodiments of the certificate reputation system 222 may elevate the security risk level associated with Certificate B so that future communications using Certificate B may be subject to higher scrutiny using the network security policies. In certain embodiments, all communications from a server 204 using IP address B are prevented from reaching the targeted endpoint device. Certificate B may be stored along with its elevated security risk level in the certificate/IP address risk datastore 224.


In the illustrated example, server 206 uses IP address C and Certificate B in the communications sent to the edge device 216. In certain embodiments, the edge device 216 forwards packets with IP address C to the certificate reputation system 222. In this example, it is assumed that IP address C has not been previously identified as a malicious IP address in the malicious IP address datastore 226. However, the certificate reputation system 222 accesses the certificate/IP address risk datastore 224 and finds that Certificate B has previously been used with a malicious IP address (IP address B). As such, there is a likelihood that communications from IP address C are also associated with a malicious entity. In certain embodiments, the certificate reputation system 222 elevates the security risk level of IP address C and, depending on the reputation security policies implemented by the certificate reputation system 222, places IP address C in the malicious IP address datastore 226. Communications from server 206 may be intercepted at server 220 or selectively forwarded to one or more of the targeted endpoint devices 214 in accordance with the established policies stored in the network security policies datastore 230.


As further shown in the illustrated example, server 208 uses IP address D and Certificate D in the communications sent to the edge device 216. In certain embodiments, the edge device 216 forwards packets with IP address D to the certificate reputation system 222. In this example, it is assumed that IP address D has not been previously identified as a malicious IP address in the malicious IP address datastore 226. However, the certificate reputation system 222 accesses the certificate/IP address risk datastore 224 and finds that Certificate D has characteristics in common with Certificate B. For example, Certificate B and Certificate D may both be signed by an untrustworthy CA. As such, there is a possibility that communications from IP address D are associated with a malicious entity. In certain embodiments, the certificate reputation system 222 elevates the security risk level of IP address D and, depending on the reputation security policies implemented by the certificate reputation system 222, places IP address D in the malicious IP address datastore 226. Further, Certificate D may be stored with an elevated security risk level in certificate/IP address risk datastore 224. Communications from server 208 may be intercepted at server 220 or selectively forwarded to one or more of the targeted endpoint devices 214 in accordance with the established policies stored in the network security policies datastore 230.


As further shown in the illustrated example, server 209 uses IP address E and Certificate A in the communications sent to the edge device 216. In certain embodiments, the edge device 216 forwards packets with IP address A to the certificate reputation system 222. In this example, it is assumed that IP address E has not been previously identified as a malicious IP address in the malicious IP address datastore 226. However, the certificate reputation system 222 accesses the certificate/IP address risk datastore 224 and finds that Certificate A has been used before, but is now being used with a different IP. It is, therefore, possible that Certificate A has been provided to more than one entity, and that the entity using IP address E may be malicious. In certain embodiments, the certificate reputation system 222 elevates the security risk level of IP address E and, depending on the reputation security policies implemented by the certificate reputation system 222, places IP address E in the malicious IP address datastore 226. Further, Certificate A may be stored with an elevated security risk level in certificate/IP address risk datastore 224. Communications from server 209 may be intercepted at server 220 or selectively forwarded to one or more of the targeted endpoint devices 214 in accordance with the established policies stored in the network security policies datastore 230.


In certain embodiments, the certificate reputation system 222 may be implemented at the edge device 216, which intercepts and/or forwards communications received from the Internet 212 to one or more targeted endpoint devices 214 over network 218 (e.g., over communication path 240). In certain embodiments, the certificate reputation system 222 is used to establish security policies for IP addresses and digital certificates for use at endpoint devices 210, which are not connected to network 218. Security policies establish for endpoint devices 210 may be enforced by one or more security policy executors 236 running on the endpoint devices 210.



FIG. 3 and FIG. 4 show a flowchart of exemplary operations that may be executed in certain embodiments of the disclosed system. In this example, a transmission is received from, for example, a server at operation 302. At operation 304, a check is made to determine whether the IP address has been blacklisted (or otherwise been designated as a high-security risk address). If the IP address is blacklisted, the digital certificate is received at operation 306, and a determination is made at operation 308 whether the digital certificate has previously been used with another IP address having an elevated security risk level. If the digital certificate has not been used with another IP address having an elevated security risk level, the digital certificate is stored with a default security level, or the current security risk level is maintained at operation 310.


If the digital certificate has been used with another IP address having an elevated security risk level, the security risk level for the digital certificate in certain embodiments may be increased at operation 312 since the use of the digital certificate by multiple IP addresses having high-risk levels indicates that the corresponding digital certificate may present a greater security risk. Certain embodiments store the digital certificate with the increased security risk level at operation 314.


Certain embodiments analyze the characteristics of the digital certificate if the digital certificate has a security risk level above a threshold value. To this end, certain embodiments compare the security risk level of the digital certificate with a threshold value at operation 316. If the security risk level is not greater than the threshold value, the communications are handled per the network's security policies at operation 318. However, if the certificate security risk level is greater than the threshold, certain embodiments begin to analyze the digital certificate at operation 318. In certain embodiments, the digital certificate is analyzed to determine the chain of validation of the digital certificate at operation 320. At operation 322, certain embodiments check whether there are other digital certificates in storage with similar chains of validation. If digital certificates with similar chains of validation are found at operation 322, security risk levels for similar digital certificates are assigned and/or updated at operation 324, and the communications are handled per the network's security policies at operation 318.



FIG. 4 is a flowchart depicting exemplary operations that may be executed if the received transmission does not use a blacklisted IP address (or other IP address having a high-security risk level). In certain embodiments, the digital certificate is received at operation 402, and a check is made at operation 404 to determine whether the digital certificate was previously used by a blacklisted IP address. If the digital certificate has not been previously used by a blacklisted IP address, the communication is handled per the network security policies at operation 406. However, if the digital certificate has previously been used by a blacklisted IP address, certain embodiments increase the security risk level for the IP address at operation 408. Depending on the reputation security policies, the security risk level of the IP address may warrant its placement on the blacklist.


In operation 412, certain embodiments store the security risk level for the IP address for subsequent use. In certain embodiments, the digital certificate security risk level is increased at operation 414 since the digital certificate has now been used by at least two IP addresses having elevated security risk levels. In certain embodiments, the digital certificate is stored with its updated risk level at operation 416 before the digital certificate security risk level is compared to the threshold at operation 316 of FIG. 3.



FIG. 5 is a flowchart depicting exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate. In this example, the IP address is received at operation 502, and the digital certificate is received at operation 504. The security risk level for the IP address is retrieved at operation 506, and the security risk level for the digital certificate is retrieved at operation 508. The security risk level for the IP address and the security risk for the digital certificate are compared to respective threshold values at operation 510. In certain embodiments, a single threshold value is applied to the security risk level for the IP address, and another single threshold value is applied to the security risk level for the digital certificate. In such embodiments, the comparisons may result in four mutually exclusive conditions. In this example, a first condition exists at operation 512 when the security risk level for the IP address is greater than the IP security threshold, and the security risk level for the digital certificate is greater than the certificate security threshold. Under the conditions shown at operation 512, Network Security Policy I is applied to the communications. A second condition exists at operation 514 when the security risk level for the IP address is greater than the IP security threshold, and the security risk level for the digital certificate is less than the certificate security threshold. Under the conditions shown at operation 514, Network Security Policy II is applied to the communications. A third condition exists at operation 516 when the security risk level for the IP address is less than the IP security threshold, and the security risk level for the digital certificate is greater than the certificate security threshold. Under the conditions shown at operation 516, Network Security Policy III is applied to the communications. A fourth condition exists at operation 518 when the security risk level for the IP address is less than the IP security threshold, and the security risk level for the digital certificate is less than the certificate security threshold. Under the conditions shown at operation 518, Network Security Policy IV is applied to the communications.


Each network policy may include one or more policy directives. In certain embodiments, the policy directives for the network policies are mutually exclusive so that each network policy includes a unique set of policy directives. In certain embodiments, the policy directives for the network policies may overlap such that more than one network policy is configured to execute some of the same policy directives. It will be recognized, based on the teachings of the present disclosure, that a variety of network policies may be implemented in response to security risk levels for the IP address and/or the digital certificate.



FIG. 6 is a flowchart depicting a further set of exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate. In this example, the IP address is received at operation 602, and the security risk level for the IP address is retrieved at operation 604. As further shown in this example, the digital certificate is received at operation 606, and the security risk level for the digital certificate is retrieved at operation 608. At operation 610, the security risk levels for the IP address and the digital certificate are used to determine a composite security risk level. In operation 612, the composite security risk level is used to select the security policy that is to be implemented for the communications with the server that is using the IP address.


The composite security risk level may be determined in a number of manners. In one example, the composite security risk level is the average of the IP address security risk level and the digital certificate security risk level. In another example, the composite security risk level is the weighted average of the IP address security risk level and the digital certificate security risk level. In another example, the composite security risk level is determined using a neural network that has been trained to analyze the risk levels of the digital certificate and IP address as the levels affect the overall security risk to the network system.



FIG. 7 is a flowchart depicting a further set of exemplary operations that may be executed to apply different network security policies in response to receipt of communications using an IP address and digital certificate. In this example, the IP address is received at operation 702, and the security risk level for the IP address is retrieved at operation 704. As further shown in this example, the digital certificate is received at operation 706, and the security risk level for the digital certificate is retrieved at operation 708. At operation 710, the behavior security risk level for the user operating the targeted endpoint is retrieved. In certain embodiments, the behavior security risk level is provided as a single value that has been composited from various behaviors exercised by the user. In certain embodiments, the user behavior security risks are presented as a vector in multi-dimensional behavior space. At operation 712, the security risk levels for the IP address, the digital certificate, and the user behavior are used to determine a composite security risk level. In operation 714, the composite security risk level is used to select the security policy that is to be implemented for the communications with the server that is using the IP address.


The composite security risk level may be determined at operation 712 in a number of manners. In one example, the composite security risk level is the average of the IP address security risk level, the digital certificate security risk level, and the user behavior security risk level. In another example, the composite security risk level is the weighted average of the IP address security risk level, the digital certificate security risk level, and the user behavior security risk level. In another example, the composite security risk level is determined using a neural network that has been trained to analyze the risk levels of the digital certificate, IP address, and user behavior as the levels affect the overall security risk to the network system.


As will be appreciated by one skilled in the art, the disclosed system may be embodied as a method, system, or computer program product. Accordingly, embodiments of the disclosed system may be implemented entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in an embodiment combining software and hardware. These various embodiments may all generally be referred to herein as a “circuit,” “module,” or “system.” Furthermore, the disclosed system may take the form of a computer program product on a computer-usable storage medium having computer-usable program code embodied in the medium.


Any suitable computer-usable or computer-readable medium may be utilized. The computer-usable or computer-readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, or a magnetic storage device. In the context of this document, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.


Computer program code for carrying out operations of the disclosed system may be written in an object-oriented programming language such as Java, Smalltalk, C++or the like. However, the computer program code for carrying out operations of the disclosed system may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).


Embodiments of the disclosed system are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosed system. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.


These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.


The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.


The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the disclosed system. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.


While particular embodiments of the disclosed system have been shown and described, it will be evident to those skilled in the art that, based upon the teachings herein, changes and modifications may be made without departing from this invention and its broader aspects. Therefore, the appended claims are to encompass within their scope all such changes and modifications as are within the true spirit and scope of this invention. Furthermore, it is to be understood that the invention is solely defined by the appended claims. It will be understood by those with skill in the art that if a specific number of an introduced claim element is intended, such intent will be explicitly recited in the claim, and in the absence of such recitation, no such limitation is present. For non-limiting example, as an aid to understanding, the following appended claims contain usage of the introductory phrases “at least one” and “one or more” to introduce claim elements. However, the use of such phrases should not be construed to imply that the introduction of a claim element by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim element to inventions containing only one such element, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an”; the same holds true for the use in the claims of definite articles.


The disclosed system is well adapted to attain the advantages mentioned as well as others inherent therein. While the disclosed system has been depicted, described, and is defined by reference to particular embodiments of the disclosed system, such references do not imply a limitation on the invention, and no such limitation is to be inferred. The invention is capable of considerable modification, alteration, and equivalents in form and function, as will occur to those ordinarily skilled in the pertinent arts. The depicted and described embodiments are examples only, and are not exhaustive of the scope of the invention.


Consequently, the invention is intended to be limited only by the spirit and scope of the appended claims, giving full cognizance to equivalents in all respects.

Claims
  • 1. A computer-implemented method for executing one or more security policies in a secured network, comprising: receiving a communication including an Internet protocol (IP) address and a digital certificate at a device within the secured network, the IP address having an IP address security risk level, the digital certification having a digital certificate security risk level;determining whether the IP address security risk level is identified as having a high-security risk level;if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address;using the security risk level for the IP address and the security risk level for the digital certificate in executing the one or more security policies, the one or more security policies comprising one or more reputation security policies, executing the one or more reputation security policies is based upon the security risk level for the IP address and the security risk level for the digital certificate; and,if the digital certificate is associated with an IP address having a high-security risk level, analyzing the digital certificate to identify one or more digital certificate characteristics; andanalyzing other digital certificates to determine whether other digital certificates have one or more of the same digital certificate characteristics.
  • 2. The computer-implemented method of claim 1, wherein the one or more security policies assign different weights to the security risk level of the IP address and the security risk level of the digital certificate to determine an appropriate security response.
  • 3. The computer-implemented method of claim 1, further comprising: determining whether the IP address has a high-security risk includes determining whether the IP address is on a blacklist of IP addresses; andassigning a high-security risk level to the digital certificate if the IP address is on the blacklist of IP addresses.
  • 4. The computer-implemented method of claim 1, further comprising: retrieving a user behavior security risk level corresponding to security risk presented by a user, wherein the user is an intended recipient of the communication; andusing the security risk level for the IP address, the security risk level for the digital certificate, and the user behavior security risk level for the user to execute one or more security policies.
  • 5. The computer-implemented method of claim 1, further comprising: increasing a security risk level of the IP address if the digital certificate has been previously used with one or more IP addresses presenting an elevated security risks.
  • 6. The computer-implemented method of claim 1, further comprising: assigning an elevated security risk level to the other digital certificates having one or more of the same digital certificate characteristics.
  • 7. A system comprising: one or more information handling systems, wherein the one or more information handling systems include: a processor;a data bus coupled to the processor; anda non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus;wherein the computer program code included in one or more of the information handling systems is executable by the processor of the information handling system so that the information handling system, alone or in combination with other information handling systems, executes operations comprising: receiving a communication including an Internet protocol (IP) address and a digital certificate at a device within the secured network, the IP address having an IP address security risk level, the digital certification having a digital certificate security risk level;determining whether the IP address is identified as having a high-security risk level, the determining being based upon the associated reputation of the digital certificate;if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address;using the security risk level for the IP address and the security risk level for the digital certificate in executing the one or more security policies, the one or more security policies comprising one or more reputation security policies, executing the one or more reputation security policies is based upon the security risk level for the IP address and the security risk level for the digital certificate; and,if the digital certificate is associated with an IP address having a high-security risk level, analyzing the digital certificate to identify one or more digital certificate characteristics; andanalyzing other digital certificates to determine whether other digital certificates have one or more of the same digital certificate characteristics.
  • 8. The system of claim 7, wherein the one or more security policies assign different weights to the security risk level of the IP address and the security risk level of the digital certificate to determine an appropriate security response.
  • 9. The system of claim 7, wherein determining whether the IP address has a high-security risk includes determining whether the IP address is on a blacklist of IP addresses; andassigning a high-security risk level to the digital certificate if the IP address is on the blacklist of IP addresses.
  • 10. The system of claim 7, wherein the computer program code is further configured for: retrieving a user behavior security risk level corresponding to security risk presented by a user, wherein the user is an intended recipient of the communication; andusing the security risk level for the IP address, the security risk level for the digital certificate, and the user behavior security risk level for the user to execute one or more security policies.
  • 11. The system of claim 7, wherein the computer program code is further configured for: increasing a security risk level of the IP address if the digital certificate has been previously used with one or more IP addresses presenting elevated security risks.
  • 12. The system of claim 7, wherein the computer program code is further configured for: assigning an elevated security risk level to the other digital certificates having one or more of the same digital certificate characteristics.
  • 13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer-executable instructions configured for: receiving a communication including an Internet protocol (IP) address and a digital certificate at a device within the secured network, the IP address having an IP address security risk level, the digital certification having a digital certificate security risk level;determining whether the IP address security risk level is identified as having a high-security risk level;if the IP address has a high-security risk level, assigning a security risk level to the digital certificate based on the security risk level of the IP address;using the security risk level for the IP address and the security risk level for the digital certificate in executing the one or more security policies, the one or more security policies comprising one or more reputation security policies, executing the one or more reputation security policies is based upon the security risk level for the IP address and the security risk level for the digital certificate; and,if the digital certificate is associated with an IP address having a high-security risk level, analyzing the digital certificate to identify one or more digital certificate characteristics; andanalyzing other digital certificates to determine whether other digital certificates have one or more of the same digital certificate characteristics.
  • 14. The non-transitory, computer-readable storage medium of claim 13, wherein the one or more security policies assign different weights to the security risk level of the IP address and the security risk level of the digital certificate to determine an appropriate security response.
  • 15. The non-transitory, computer-readable storage medium of claim 13, wherein determining whether the IP address has a high-security risk includes determining whether the IP address is on a blacklist of IP addresses; andassigning a high-security risk level to the digital certificate if the IP address is on the blacklist of IP addresses.
  • 16. The non-transitory, computer-readable storage medium of claim 13, wherein the instructions are further configured for: retrieving a user behavior security risk level corresponding to security risk presented by a user, wherein the user is an intended recipient of the communication; andusing the security risk level for the IP address, the security risk level for the digital certificate, and the user behavior security risk level for the user to execute one or more security policies.
  • 17. The non-transitory, computer-readable storage medium of claim 13, wherein the instructions are further configured for: increasing a security risk level of the IP address if the digital certificate has been previously used with one or more IP addresses presenting an elevated security risk.
US Referenced Citations (253)
Number Name Date Kind
6072875 Tsudik Jun 2000 A
6678693 Shiraishi Jan 2004 B1
7107447 Sanin et al. Sep 2006 B2
7694150 Kirby Apr 2010 B1
7725565 Li et al. May 2010 B2
7813944 Luk et al. Oct 2010 B1
7933960 Chen et al. Apr 2011 B2
8181253 Zaitsev et al. May 2012 B1
8312064 Gauvin Nov 2012 B1
8424061 Rosenoer Apr 2013 B2
8484066 Miller et al. Jul 2013 B2
8490163 Harsell et al. Jul 2013 B1
8713633 Thomas Apr 2014 B2
8776168 Gibson et al. Jul 2014 B1
8826443 Raman et al. Sep 2014 B1
8892690 Liu et al. Nov 2014 B2
8990930 Burrell et al. Mar 2015 B2
9015812 Plattner et al. Apr 2015 B2
9015847 Kaplan et al. Apr 2015 B1
9043905 Allen et al. May 2015 B1
9053124 Dornquast et al. Jun 2015 B1
9128995 Fletcher et al. Sep 2015 B1
9137318 Hong Sep 2015 B2
9166999 Kulkarni et al. Oct 2015 B1
9223972 Vincent et al. Dec 2015 B1
9246941 Gibson et al. Jan 2016 B1
9262722 Daniel Feb 2016 B1
9298726 Mondal et al. Mar 2016 B1
9342553 Fuller May 2016 B1
9369433 Paul et al. Jun 2016 B1
9485266 Baxley et al. Nov 2016 B2
9542650 Lospinoso et al. Jan 2017 B2
9596146 Coates et al. Mar 2017 B2
9609010 Sipple Mar 2017 B2
9665854 Burger et al. May 2017 B1
9692762 Barkan et al. Jun 2017 B2
9755913 Bhide et al. Sep 2017 B2
9762582 Hockings et al. Sep 2017 B1
9798883 Gil et al. Oct 2017 B1
9935891 Stamos Apr 2018 B1
9977824 Agarwal et al. May 2018 B2
10096065 Little Oct 2018 B2
10108544 Duggal et al. Oct 2018 B1
10187369 Caldera et al. Jan 2019 B2
10210283 Broz et al. Feb 2019 B2
10235285 Wallace Mar 2019 B1
10237298 Nguyen et al. Mar 2019 B1
10270794 Mukeiji et al. Apr 2019 B1
10275671 Newman Apr 2019 B1
10282702 Paltenghe et al. May 2019 B2
10284601 Bar-Menachem et al. May 2019 B1
10320813 Ahmed et al. Jun 2019 B1
10341391 Pandey et al. Jul 2019 B1
10417454 Marom et al. Sep 2019 B1
10417653 Milton et al. Sep 2019 B2
10419428 Tunnell et al. Sep 2019 B2
10432669 Badhwar et al. Oct 2019 B1
10545738 Jaeger et al. Jan 2020 B1
10579281 Cherubini et al. Mar 2020 B2
10713934 Sayavong et al. Jul 2020 B2
10769908 Burris et al. Sep 2020 B1
10917319 Scheib et al. Feb 2021 B2
11061874 Funk et al. Jul 2021 B1
20020112015 Haynes Aug 2002 A1
20020123865 Whitney et al. Sep 2002 A1
20040034582 Gilliam et al. Feb 2004 A1
20040044613 Murakami et al. Mar 2004 A1
20050120025 Rodriguez et al. Jun 2005 A1
20050198099 Motsinger et al. Sep 2005 A1
20050273850 Freund Dec 2005 A1
20060048209 Shelest et al. Mar 2006 A1
20060053476 Bezilla et al. Mar 2006 A1
20060112111 Tseng et al. May 2006 A1
20060117172 Zhang et al. Jun 2006 A1
20060129382 Anand et al. Jun 2006 A1
20060195905 Fudge Aug 2006 A1
20060206449 Fletcher et al. Sep 2006 A1
20060225124 Kolawa et al. Oct 2006 A1
20070043703 Bhattacharya et al. Feb 2007 A1
20070121522 Carter May 2007 A1
20070225995 Moore Sep 2007 A1
20070234409 Eisen Oct 2007 A1
20080168002 Kagarlis et al. Jul 2008 A1
20080168135 Redlich et al. Jul 2008 A1
20080168453 Hutson et al. Jul 2008 A1
20080198453 LaFontaine et al. Aug 2008 A1
20080244741 Gustafson et al. Oct 2008 A1
20090006888 Bernhard et al. Jan 2009 A1
20090177979 Garbow et al. Jul 2009 A1
20090182872 Hong Jul 2009 A1
20090228474 Chiu et al. Sep 2009 A1
20090300712 Kaurmann et al. Dec 2009 A1
20100024014 Kailash et al. Jan 2010 A1
20100057662 Collier et al. Mar 2010 A1
20100058016 Nikara et al. Mar 2010 A1
20100094767 Miltonberger Apr 2010 A1
20100094818 Farrell et al. Apr 2010 A1
20100107255 Eiland et al. Apr 2010 A1
20100146622 Nordstrom et al. Jun 2010 A1
20100205224 Palanisamy et al. Aug 2010 A1
20100228656 Wasserblat et al. Sep 2010 A1
20100235495 Petersen et al. Sep 2010 A1
20100275263 Bennett et al. Oct 2010 A1
20110061093 Korkus et al. Mar 2011 A1
20110167105 Ramakrishnan et al. Jul 2011 A1
20110307957 Barcelo et al. Dec 2011 A1
20120046989 Baikalov et al. Feb 2012 A1
20120047575 Baikalov et al. Feb 2012 A1
20120079107 Williams et al. Mar 2012 A1
20120110087 Culver et al. May 2012 A1
20120137367 Dupont et al. May 2012 A1
20120210158 Akiyama et al. Aug 2012 A1
20120259807 Dymetman Oct 2012 A1
20120290215 Adler et al. Nov 2012 A1
20130013550 Kerby Jan 2013 A1
20130054433 Giard et al. Feb 2013 A1
20130055367 Kshirsagar et al. Feb 2013 A1
20130081141 Anurag Mar 2013 A1
20130097662 Pearcy et al. Apr 2013 A1
20130102283 Lau et al. Apr 2013 A1
20130104236 Ray et al. Apr 2013 A1
20130132551 Bose et al. May 2013 A1
20130174259 Pearcy et al. Jul 2013 A1
20130205366 Luna et al. Aug 2013 A1
20130238422 Saldanha Sep 2013 A1
20130290598 Fiske et al. Oct 2013 A1
20130297729 Suni et al. Nov 2013 A1
20130305358 Gathala et al. Nov 2013 A1
20130317808 Kruel et al. Nov 2013 A1
20130320212 Valentino et al. Dec 2013 A1
20130340035 Uziel et al. Dec 2013 A1
20140075004 Van Dusen et al. Mar 2014 A1
20140096215 Hessler Apr 2014 A1
20140173727 Lingafelt et al. Jun 2014 A1
20140199663 Sadeh-Koniecpol et al. Jul 2014 A1
20140205099 Christodorescu et al. Jul 2014 A1
20140214938 Bhatt et al. Jul 2014 A1
20140283075 Drissel et al. Sep 2014 A1
20140325634 Tekel-Johnson et al. Oct 2014 A1
20140356445 Little Dec 2014 A1
20150082430 Sridhara et al. Mar 2015 A1
20150113646 Lee et al. Apr 2015 A1
20150154263 Boddhu et al. Jun 2015 A1
20150161386 Gupta et al. Jun 2015 A1
20150199511 Faile, Jr. et al. Jul 2015 A1
20150199629 Faile, Jr. et al. Jul 2015 A1
20150205954 Jou et al. Jul 2015 A1
20150215325 Ogawa Jul 2015 A1
20150220625 Cartmell et al. Aug 2015 A1
20150256550 Taylor et al. Sep 2015 A1
20150269383 Lang et al. Sep 2015 A1
20150286819 Coden et al. Oct 2015 A1
20150288709 Singhal et al. Oct 2015 A1
20150324559 Boss et al. Nov 2015 A1
20150324563 Deutschmann et al. Nov 2015 A1
20150326613 Devarajan et al. Nov 2015 A1
20150350902 Baxley et al. Dec 2015 A1
20150356488 Eden et al. Dec 2015 A1
20160021117 Harmon et al. Jan 2016 A1
20160036844 Kopp et al. Feb 2016 A1
20160078362 Christodorescu et al. Mar 2016 A1
20160092774 Wang et al. Mar 2016 A1
20160105334 Boe et al. Apr 2016 A1
20160117937 Penders et al. Apr 2016 A1
20160147380 Coates et al. May 2016 A1
20160164922 Boss et al. Jun 2016 A1
20160182492 Bean Jun 2016 A1
20160224803 Frank et al. Aug 2016 A1
20160226914 Doddy et al. Aug 2016 A1
20160232353 Gupta et al. Aug 2016 A1
20160247158 Kolotinsky Aug 2016 A1
20160261621 Srivastava et al. Sep 2016 A1
20160277360 Dwyier et al. Sep 2016 A1
20160277435 Salajegheh et al. Sep 2016 A1
20160286244 Chang et al. Sep 2016 A1
20160300049 Guedalia et al. Oct 2016 A1
20160308890 Weilbacher Oct 2016 A1
20160330219 Hasan Nov 2016 A1
20160330746 Mehrabanzad et al. Nov 2016 A1
20160335865 Sayavong et al. Nov 2016 A1
20160371489 Puri et al. Dec 2016 A1
20170032274 Yu et al. Feb 2017 A1
20170053280 Lishok et al. Feb 2017 A1
20170063888 Muddu et al. Mar 2017 A1
20170070521 Bailey et al. Mar 2017 A1
20170104790 Meyers et al. Apr 2017 A1
20170116054 Boddhu et al. Apr 2017 A1
20170155669 Sudo et al. Jun 2017 A1
20170171609 Koh Jun 2017 A1
20170230418 Amar et al. Aug 2017 A1
20170255938 Biegun et al. Sep 2017 A1
20170279616 Loeb et al. Sep 2017 A1
20170286671 Chari et al. Oct 2017 A1
20170331828 Caldera et al. Nov 2017 A1
20170149815 Bolgert Dec 2017 A1
20180004948 Martin et al. Jan 2018 A1
20180007069 Hunt et al. Jan 2018 A1
20180018456 Chen et al. Jan 2018 A1
20180024901 Tankersley et al. Jan 2018 A1
20180025273 Jordan et al. Jan 2018 A1
20180027006 Zimmermann et al. Jan 2018 A1
20180081661 Gonzalez Del Solar et al. Mar 2018 A1
20180082307 Ochs et al. Mar 2018 A1
20180091520 Camenisch et al. Mar 2018 A1
20180107528 Vizer et al. Apr 2018 A1
20180121514 Reisz et al. May 2018 A1
20180139227 Martin et al. May 2018 A1
20180145995 Roeh et al. May 2018 A1
20180150570 Broyd et al. May 2018 A1
20180191745 Moradi et al. Jul 2018 A1
20180191766 Holeman et al. Jul 2018 A1
20180191857 Schooler et al. Jul 2018 A1
20180204215 Hu et al. Jul 2018 A1
20180232111 Jones et al. Aug 2018 A1
20180232426 Gomez et al. Aug 2018 A1
20180234434 Viljoen Aug 2018 A1
20180248863 Kao et al. Aug 2018 A1
20180276541 Studnitzer et al. Sep 2018 A1
20180285363 Dennis et al. Oct 2018 A1
20180288063 Koottayi et al. Oct 2018 A1
20180295141 Solotorevsky Oct 2018 A1
20180332062 Ford Nov 2018 A1
20180336353 Manadhata et al. Nov 2018 A1
20180341758 Park et al. Nov 2018 A1
20180341889 Psalmonds et al. Nov 2018 A1
20180349221 Harutyunyan et al. Dec 2018 A1
20180349684 Bapat et al. Dec 2018 A1
20190014153 Lang et al. Jan 2019 A1
20190034625 Ford et al. Jan 2019 A1
20190034813 Das et al. Jan 2019 A1
20190036969 Swafford et al. Jan 2019 A1
20190052660 Cassidy et al. Feb 2019 A1
20190095478 Tankersley et al. Mar 2019 A1
20190158503 Bansal et al. May 2019 A1
20190174319 Backholm et al. Jun 2019 A1
20190222603 Yang Jul 2019 A1
20190289021 Ford Sep 2019 A1
20190294482 Li et al. Sep 2019 A1
20190311105 Beiter et al. Oct 2019 A1
20190354703 Ford Nov 2019 A1
20190356688 Ford Nov 2019 A1
20190356699 Ford Nov 2019 A1
20190387002 Ford et al. Dec 2019 A1
20190387003 Ford et al. Dec 2019 A1
20190392419 DeLuca et al. Dec 2019 A1
20200034462 Narayanaswamy et al. Jan 2020 A1
20200036740 Ford Jan 2020 A1
20200065728 Wilson et al. Feb 2020 A1
20200077265 Singh et al. Mar 2020 A1
20200089692 Tripathi et al. Mar 2020 A1
20200117546 Wong et al. Apr 2020 A1
20200287888 Moore Sep 2020 A1
20200334025 Wang et al. Oct 2020 A1
Foreign Referenced Citations (1)
Number Date Country
WO-2019153581 Aug 2019 WO
Non-Patent Literature Citations (25)
Entry
Marinescu, Dan C., Cloud Computing and Computer Clouds, University of Central Florida, 2012, pp. 1-246.
Singh et al., Container-Based Microservice Architecture for Cloud Applications, International Conference on Computing, Communication and Automation (ICCCA2017), 2017.
Barrere et al., Vulnerability Assessment in Autonomic Networks and Services: A Survey, IEEE, Aug. 30, 2013, vol. 16, issue. 2, pp. 988-1004.
Burns et al., Automatic Management of Network Security Policy, IEEE, Jun. 14, 2001, pp. 12-26.
S. Chambi et al., Better bitmap performance with Roaring bitmaps, arXiv:1402.6407v10 [cs.DB] (Mar. 15, 2016).
Jianguo Wang et al., An Experimental Study of Bitmap Compression vs. Inverted List Compression, SIGMOD 2017: Proceedings of the 2017 ACM Int'l Conf. on Management of Data, pp. 993-1008 (May 2017).
Sanjeev Goyal et al., Attack, Defence and Contagion in Networks, The Review of Economic Studies, vol. 81, Issue 4, Oct. 2014, pp. 1518-1542, https://doi.org/10.1093/restud/rdu013 (2014).
L. F. Lafuerza et al., Exact Solution of a Stochastic Protein Dynamics Model with Delayed Degradation, Phys. Rev. E 84, 051121, Nov. 18, 2011, pp. 1-8.
Zoubin Ghahramani, Bayesian nonparametrics and the probabilistic approach to modelling, Philosophical Transactions A of the Royal Society, vol. 371 Issue: 1984, Published Dec. 31, 2012, pp. 1-20.
Elena Zheleva et al., Higher-order Graphical Models for Classification in Social and Affiliation Networks, NIPS 2010 Workshop on Networks Across Disciplines: Theory and Applications, Whistler BC, Canada, 2010, pp. 1-7.
Varun Chandola et al., Anomaly Detection: A Survey, ACM Computing Surveys, vol. 41, No. 3, Article 15, Jul. 2009, pp. 15.1-58.1.
Judea Pearl, The Causal Foundations of Structural Equation Modeling, Technical Report R-370, Computer Science Department, University of California, Los Angeles, also Chapter 5, R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling, New York, Guilford Press, Jun. 4, 2012, pp. 68-91.
Yueh-Hsuan Chiang, Towards Large-Scale Temporal Entity Matching, Dissertation Abstract, University of Wisconsin-Madison, 2013.
Furong Li, Linking Temporal Records for Profiling Entities, 2015, SIGMOD '15 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 593-605, https://users.soe.ucsc.edu/˜tan/papers/2015/modf445-li.pdf.
Peter Christen et al., Adaptive Temporal Entity Resolution on Dynamic Databases, Apr. 2013, http://users.cecs.anu.edu.au/˜Peter.Christen/publications/christen2013pakdd-slides.pdf.
Wikipedia, Categorical Distribution, edited Jul. 28, 2018, https://en.wikipedia.org/wiki/Categorical_distribution.
Wikipedia, One-Hot, edited May 22, 2018, https://en.wikipedia.org/wiki/One-hot.
Sean Barnum, Standardized Cyber Threat Intelligence Information with the Structured Threat Information eXpression (STIX) Whitepaper v1.1 (Feb. 20, 2014).
Xiang Sun et al., Event Detection in Social Media Data Streams, IEEE International Conference on Computerand Information Technology; Ubiquitous Computing and Communications; Dependable, Automatic and Secure Computing Persuasive Intelligence and Computing, pp. 1711-1717, Dec. 2015.
Mesaros et al., Latent Semantic Analysis in Sound Event Detection, 19th European Signal Processing Conference (EUSIPCO 2011), pp. 1307-1311, 2011.
Crandall et al., Inferring Social Ties from Geographic Coincidences, PNAS, vol. 107, No. 52, 2010, pp. 22436-22441, 2010.
Ross et al., Bully Prevention in Positive Behavior Support, Journal of Applied Behavior Analysis, 42(4), pp. 747-759, 2009.
Matt Klein, How to Erase Your iOS Device After Too Many Failed Passcode Attempts, https://www.howtogeek.com/264369/ how-to-erase-your-ios-device-after-too-many-failed-passcode-attempts/, Jul. 28, 2016.
GITHUB, The Z3 Theorem Prover, retrieved from internet May 19, 2020, https://github.com/Z3Prover/z3.
John Backes et al., Semantic-based Automated Reasoning for AWS Access Policies using SMT, 2018 Formal Methods in Computer Aided Design (FMCAD), Oct. 30-Nov. 2, 2018 https://d1.awsstatic.com/Security/pdfs/Semantic_Based_Automated_Reasoning_for_AWS_Access_Policies_Using_SMT.pdf.
Related Publications (1)
Number Date Country
20210344667 A1 Nov 2021 US