Method and System for Reducing Risk Score Volatility

• US 20190036970A1
• Filed: 07/25/2018
• Published: 01/31/2019
• Est. Priority Date: 07/26/2017
• Status: Active Grant

• Current Assignee: Forcepoint Federal Holdings LLC (Forcepoint LLC)
• Original Assignee: Forcepoint LLC
• Inventors: Shih, Benjamin, Irvine, Ann, Snyder, Russell
• Granted Patent: US 10,642,995 B2
• Time in Patent Office: 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 performing a risk score volatility reduction operation, comprising: collecting event data associated with user behavior of a user; generating a scoring interval risk score for the user for a current risk scoring interval; and, processing the scoring interval risk score of the current risk scoring interval with a scoring interval risk score from a prior risk scoring window to provide a scoring window risk score, the scoring window risk score reducing volatility of a risk score associated with the user.

Claims

1. A computer-implementable method for performing a risk score volatility reduction operation, comprising:

collecting event data associated with user behavior of a user;

generating a scoring interval risk score for the user for a current risk scoring interval; and

,

processing the scoring interval risk score of the current risk scoring interval with a scoring interval risk score from a prior risk scoring window to provide a scoring window risk score, the scoring window risk score reducing volatility of a risk score associated with the user.

2. The method of claim 1, wherein:

at least one of an average perplexity function and a simple max approach is used when generating the scoring window risk score.

3. The method of claim 1, further comprising:

associating a risk assessment value with the user behavior.

4. The method of claim 1, further comprising:

associating a risk score volatility reduction parameter with the user.

5. The method of claim 1, further comprising:

assigning a weighting to each scoring interval risk score.

6. The method of claim 1, further comprising:

using the scoring window risk score when performing a risk-adaptive prevention operation.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code for performing a risk score volatility reduction operation, 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;

collecting event data associated with user behavior of a user;

generating a scoring interval risk score for the user for a current risk scoring interval; and

,

processing the scoring interval risk score of the current risk scoring interval with a scoring interval risk score from a prior risk scoring window to provide a scoring window risk score, the scoring window risk score reducing volatility of a risk score associated with the user.

8. The system of claim 7, wherein:

at least one of an average perplexity function and a simple max approach is used when generating the scoring window risk score.

9. The system of claim 7, wherein the instructions executable by the processor are further configured for:

associating a risk assessment value with the user behavior.

10. The system of claim 7, wherein the instructions executable by the processor are further configured for:

associating a risk score volatility reduction parameter with the user.

11. The system of claim 7, wherein the instructions executable by the processor are further configured for:

assigning a weighting to each scoring interval risk score.

12. The system of claim 7, wherein the instructions executable by the processor are further configured for:

using the scoring window risk score when performing a risk-adaptive prevention operation.

13. A non-transitory, computer-readable storage medium embodying computer program code for performing a risk score volatility reduction operation, the computer program code comprising computer executable instructions configured for:

collecting event data associated with user behavior of a user;

generating a scoring interval risk score for the user for a current risk scoring interval; and

,

processing the scoring interval risk score of the current risk scoring interval with a scoring interval risk score from a prior risk scoring window to provide a scoring window risk score, the scoring window risk score reducing volatility of a risk score associated with the user.

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

at least one of an average perplexity function and a simple max approach is used when generating the scoring window risk score.

15. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are further configured for:

associating a risk assessment value with the user behavior.

16. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are further configured for:

associating a risk score volatility reduction parameter with the user.

17. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are further configured for:

assigning a weighting to each scoring interval risk score.

18. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are further configured for:

using the scoring window risk score when performing a risk-adaptive prevention operation.

19. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are deployable to a client system from a server system at a remote location.

20. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.