Section-based security information

• US 10,642,998 B2
• Filed: 07/25/2018
• Issued: 05/05/2020
• Est. Priority Date: 07/26/2017
• Status: Active Grant

• Current Assignee: Forcepoint LLC (Francisco Partners Management LLC)
• Original Assignee: Forcepoint LLC (Francisco Partners Management LLC)
• Inventors: Ford, Richard A., Irvine, Ann, Snyder, Russell, Reeve, Adam
• Primary Examiner(s): Schwartz, Darren B
• Application Number:
  US16/045,301
• Publication Number:
  US 20190036959A1
• Time in Patent Office: 650 Days
• CPC Class Codes: G06F 11/3072 where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 21/602 Providing cryptographic facilities or services
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06F 21/84 output devices, e.g. displays or monitors
• CPC Class Codes: G06F 2201/86 Event-based monitoring
• CPC Class Codes: G06F 2221/031 Protect user input by software means
• CPC Class Codes: G06F 2221/032 Protect output to user by software means
• CPC Class Codes: G06F 2221/034 Test or assess a computer or a system
• CPC Class Codes: H04L 2209/16 Obfuscation or hiding, e.g. involving white box
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/1425 Traffic logging, e.g. anomaly detection
• CPC Class Codes: H04L 63/1433 Vulnerability analysis
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/025 for remote control or remote monitoring of applications
• CPC Class Codes: H04L 67/141 Setup of application sessions admission control or resource allocation in data switching networks H04L47/70
• CPC Class Codes: H04L 67/146 : Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
• CPC Class Codes: H04L 67/289 : Intermediate processing functionally located close to the data consumer application, e.g. in same machine, in same home or in same sub-network
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method, system and computer-usable medium for generating session-based security information. Generating the session-based security information includes the steps of monitoring user behavior between an enactor and an entity; detecting user behavior data associated with the user behavior; generating a session using the user behavior data, the session relating to an entity discrete interaction of the enactor; and, associating the session and the session-based security information with the user profile.

Claims

1. A computer-implementable method for generating session-based security information, comprising:

monitoring user behavior between an enactor and an entity;

detecting user behavior data associated with the user behavior;

generating a session using the user behavior data, the session relating to an entity discrete interaction of the enactor;

generating a fingerprint, the fingerprint comprising a collection of information providing a distinctive, characteristic indicator of an identify of the enactor;

generating a session-based fingerprint using the fingerprint, the session-based fingerprint comprising a unique identifier of the enactor associated with the session;

associating the session, the session-based security information and the session-based fingerprint with a user profile;

using the session-based security information to detect anomalous, abnormal, unexpected or malicious behavior; and

,

mitigating a risk associated with the anomalous, abnormal, unexpected or malicious behavior, the mitigating being performed via an endpoint agent executing on a hardware processor of an information handling system.

2. The method of claim 1, wherein:

the collection of information comprises a user profile element.

3. The method of claim 1, wherein:

the session comprises at least one of a plurality of session characteristics, the session characteristics comprising

two sessions being contiguous;

two sessions being associated but noncontiguous;

the session being associated with other sessions;

the session being a subset of another session; and

,

the interval of time of the session overlapping with an interval of time of another session.

4. The method of claim 1, wherein:

the user behavior enacted during the session is associated with an event.

5. The method of claim 1, further comprising:

using the session-based fingerprint to perform security analytics operations.

6. A system comprising:

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, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for;

monitoring user behavior between an enactor and an entity;

detecting user behavior data associated with the user behavior;

generating a session using the user behavior data, the session relating to an entity discrete interaction of the enactor;

generating a fingerprint, the fingerprint comprising a collection of information providing a distinctive, characteristic indicator of an identify of the enactor;

generating a session-based fingerprint using the fingerprint, the session-based fingerprint comprising a unique identifier of the enactor associated with the session;

associating the session, the session-based security information and the session-based fingerprint with a user profile;

using the session-based security information to detect anomalous, abnormal, unexpected or malicious behavior; and

,

mitigating a risk associated with the anomalous, abnormal, unexpected or malicious behavior, the mitigating being performed via an endpoint agent executing on a hardware processor of an information handling system.

7. The system of claim 6, wherein:

the collection of information comprises a user profile element.

8. The system of claim 6, wherein:

the session comprises at least one of a plurality of session characteristics, the session characteristics comprising

two sessions being contiguous;

two sessions being associated but noncontiguous;

the session being associated with other sessions;

the session being a subset of another session; and

,

the interval of time of the session overlapping with an interval of time of another session.

9. The system of claim 6, wherein:

the user behavior enacted during the session is associated with an event.

10. The system of claim 6, wherein the instructions executable by the processor are further configured for:

using the session-based fingerprint to perform security analytics operations.

11. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

monitoring user behavior between an enactor and an entity;

detecting user behavior data associated with the user behavior;

generating a session using the user behavior data, the session relating to an entity discrete interaction of the enactor;

generating a fingerprint, the fingerprint comprising a collection of information providing a distinctive, characteristic indicator of an identify of the enactor;

generating a session-based fingerprint using the fingerprint, the session-based fingerprint comprising a unique identifier of the enactor associated with the session;

associating the session, the session-based security information and the session-based fingerprint with a user profile;

using the session-based security information to detect anomalous, abnormal, unexpected or malicious behavior; and

,

mitigating a risk associated with the anomalous, abnormal, unexpected or malicious behavior, the mitigating being performed via an endpoint agent executing on a hardware processor of an information handling system.

12. The non-transitory, computer-readable storage medium of claim 11, wherein:

the collection of information comprises a user profile element.

13. The non-transitory, computer-readable storage medium of claim 11, wherein:

the session comprises at least one of a plurality of session characteristics, the session characteristics comprising

two sessions being contiguous;

two sessions being associated but noncontiguous;

the session being associated with other sessions;

the session being a subset of another session; and

,

the interval of time of the session overlapping with an interval of time of another session.

14. The non-transitory, computer-readable storage medium of claim 11, wherein:

the user behavior enacted during the session is associated with an event.

15. The non-transitory, computer-readable storage medium of claim 11, wherein the computer executable instructions are further configured for:

using the session-based fingerprint to perform security analytics operations.

16. The non-transitory, computer-readable storage medium of claim 11, wherein:

the computer executable instructions are deployable to a client system from a server system at a remote location.

17. The non-transitory, computer-readable storage medium of claim 11, wherein:

the computer executable instructions are provided by a service provider to a user on an on-demand basis.