Trust evaluation systems and methods

• US 20060212931A1
• Filed: 03/02/2006
• Published: 09/21/2006
• Est. Priority Date: 03/02/2005
• Status: Abandoned Application

• Current Assignee: MarkMonitor Inc.
• Original Assignee: MarkMonitor Inc.
• Inventors: Bohlman, William, Shull, Mark, Shraim, Ihab, Bura, Christopher J.
• Application Number:
  US11/368,372
• Publication Number:
  US 20060212931A1
• Time in Patent Office: Days
• US Class Current: 726/10
• CPC Class Codes: G06F 21/55 Detecting local intrusion or implementing counter-measures
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/104 Grouping of entities
• CPC Class Codes: H04L 63/14 for detecting or protecting against malicious traffic
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00

Abstract

Embodiments of the present invention provide methods, systems, and software for implementing evaluating online entities and/or for providing a trust score for such entities. The trust score may provide an indication of the trustworthiness of the online entity. In some cases, data may be obtained from a variety of sources, and such data may be used to evaluate an online entity and/or to provide a score for the entity. In an aspect of the invention, a plurality of trust scores, each of which related to a behavioral characteristic and/or a category of activity, may be assigned to a particular entity. Such scores may be stored in one or more data stores and/or may be provided to others.

Claims

1. A method of evaluating an online entity, the method comprising:

retrieving data from a plurality of data sources, the data being associated with an online entity; and

calculating with a computer a trust score for the online entity, wherein the trust score is based on the retreived data;

associating the trust score with an identifier associated with the respective online entity; and

storing the trust score in a data store having a plurality of trust scores, each of the trust scores being associated with one of a plurality of online entities.

2. The method of claim 1, wherein the identifier comprises one of an IP address and a domain name.

3. The method of claim 1, further comprising:

determining that a second online entity is associated with the online entity; and

using the trust score as a factor in calculating a second trust score for the second online entity.

4. The method of claim 1, wherein calculating the trust score comprises calculating at least one derived score to evaluate a factor of the correlated data.

5. The method of claim 4, wherein calculating the derived score comprises calculating a consistency score evaluating a consistency of data associated with the online entity.

6. The method of claim 4, wherein calculating the derived score comprises:

selecting a subset of the retrieved data, the subset of retrieved data being associated with one or more trusted sources;

calculating a trusted record score using the subset, the trusted record score evaluating a trust history of the online entity with trusted online entities.

7. The method of claim 4, wherein calculating the derived score comprises calculating a whitelist score evaluating a whitelist reputation of the online entity.

8. The method of claim 4, wherein calculating the derived score comprises calculating a blacklist score evaluating a blacklist reputation of the online entity.

9. The method of claim 4, wherein calculating the derived score comprises calculating a portfolio score evaluating a compatibility of the online entity with one or more online assets associated with the online entity.

10. The method of claim 4, wherein calculating the derived score comprises calculating a secure infrastructure score evaluating the online entity'"'"'s use of security features.

11. The method of claim 4, wherein calculating the derived score comprises calculating a change score evaluating a frequency of registration changes associated with the online entity.

12. The method of claim 4, wherein calculating the derived score comprises calculating a history score evaluating an amount of historical data associated with the online entity.

13. The method of claim 4, further comprising storing the derived score.

14. The method of claim 1, further comprising calculating a second trust score for the online entity based on at least some of the retrieved data.

15. The method of claim 14, wherein at least one of the first and second trust scores comprises a trust score selected from the group consisting of:

a fraud score indicating a likelihood of the online entity to engage in fraudulent activities, a virus score indicating a likelihood of the online entity to propogate computer viruses, a cybersquatting score indicating the likelihood of the online entity to engage in cybersquatting, a pornography score indicating the likelihood of the online entity to distribute pornography, an electronic commerce score indicating the likelihood of the online entity to engage in legitimate online commerce, and an unwanted traffic score indicating the likelihood of the entity to distribute unwanted online communications.

16. The method of claim 14, further comprising:

storing the trust score and an identifier of the online entity in a trust data store; and

storing the second trust score in the data store; and

associating the second trust score with the identifier.

17. The method of claim 1, further comprising calculating a new trust score using a set of updated data obtained from one or more of the data sources.

18. The method of claim 1, further comprising:

receiving at least one communication indicating a feedback on the trust score; and

calculating a new trust score using the retreived data and the feedback.

19. The method of claim 1, further comprising:

providing the trust score upon request.

20. A computer system comprising at least one computer configured to perform the method of claim 1.

21. A software program embodied on at least one computer readable medium, the software program comprising instructions executable by one or more computers to:

retrieve data from a plurality of data sources, the data being associated with an online entity;

calculate a trust score for the online entity, wherein the trust score is based on the retreived data;

associate the trust score with an identifier associated with the respective online entity; and

store the trust score in a data store having a plurality of trust scores, each of the trust scores being associated with one of a plurality of online entities.

22. A system comprising:

at least one data store including correlated data for a plurality of online entities obtained from a plurality of sources;

a scoring engine configured to calculate trust scores for the online entities using the correlated data associated with the respective online entity; and

a trust data store to store the trust scores, each trust score associated with an identifier identifying the online entity associated with the respective trust score.

23. The system of claim 22, further comprising:

a derived score data store to store derived scores associated with the online entities, the derived scores each evaluating a factor of the data correlated with the respective online entity.

24. A computer system comprising:

a processor and a computer readable medium having instructions executable by the processor to;

retrieve data from a plurality of data sources, the data being associated with an online entity;

calculate a trust score for the online entity, wherein the trust score is based on the retreived data;

associate the trust score with an identifier associated with the respective online entity; and

store the trust score in a data store having a plurality of trust scores, each of the trust scores being associated with one of a plurality of online entities.

25. A system comprising:

means for retrieving data from a plurality of data sources, the data being associated with an online entity;

means for calculating with a computer a trust score for the online entity, wherein the trust score is based on the retreived data;

means for associating the trust score with an identifier associated with the respective online entity; and

means for storing the trust score in a data store having a plurality of trust scores, each of the trust scores being associated with one of a plurality of online entities.