System and methods for identifying compromised personally identifiable information on the internet

• US 9,558,368 B2
• Filed: 11/02/2015
• Issued: 01/31/2017
• Est. Priority Date: 02/18/2011
• Status: Active Grant

• Current Assignee: Csidentity Corporation (Experian plc)
• Original Assignee: Csidentity Corporation (Experian plc)
• Inventors: Gottschalk, Harold E. Jr., Caldwell, Michael, Carleton, Joel
• Primary Examiner(s): Jacob, Ajith
• Application Number:
  US14/929,835
• Publication Number:
  US 20160055350A1
• Time in Patent Office: 456 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002

Abstract

In one embodiment, a method includes generating, by a computer system, a search-engine query from stored identity-theft nomenclature. The method also includes querying, by the computer system, at least one search engine via the search-engine query. Further, the method includes crawling, by the computer system, at least one computer-network resource identified via the querying. In addition, the method includes collecting, by the computer system, identity-theft information from the at least one computer-network resource. Additionally, the method includes processing, by the computer system, the identity-theft information for compromised personally-identifying information (PII).

Claims

1. A method comprising:

generating, by a computer system, a search-engine query from stored identity-theft nomenclature;

querying, by the computer system, at least one search engine via the search-engine query;

crawling, by the computer system, at least one computer-network resource identified via the querying;

collecting, by the computer system, identity-theft information from the at least one computer-network resource;

processing, by the computer system, the identity-theft information for compromised personally-identifying information (PII)); and

wherein the processing comprises;

analyzing the identity-theft information for new identity-theft nomenclature; and

storing any new identity-theft nomenclature with the stored identity-theft nomenclature.

2. The method of claim 1, wherein the collecting comprises scanning the at least one computer-network resource for at least a portion the stored identity-theft nomenclature.

3. The method of claim 1, wherein the processing comprises extracting compromised PII from the identity-theft information, the extracting comprising recognizing at least one PII format.

4. The method of claim 3, wherein the recognized PII format is selected from the group consisting of:

token-separated data, one or more columns of data lacking column headers, multi-line labeled data, and magnetic-stripe data.

5. The method of claim 1, wherein the processing comprises validating the at least one computer-network resource, the validating comprising determining whether the at least one computer-network resource is a likely source of false positives for compromised PII.

6. The method of claim 1, wherein the processing comprises normalizing the identity-theft information, the normalizing comprising storing the identity-theft information according to a standardized format.

7. The method of claim 1, comprising creating and delivering at least one of an alert and a report in connection with the identity-theft information.

8. The method of claim 1, wherein the identity-theft information comprises information related to new sources of compromised PII.

9. The method of claim 1, wherein the stored identity-theft nomenclature comprises words that are determined to be suggestive of identity-theft information.

10. The method of claim 1, comprising ranking entries within the stored identity-theft nomenclature according to a relative significance of compromised PII that is gleaned thereby.

11. The method of claim 10, wherein the ranking comprises ranking the stored identity-theft nomenclature according to a quality of compromised PII that is gleaned thereby.

12. The method of claim 10, wherein the ranking comprises ranking the stored identity-theft nomenclature according to a quantity of compromised PII that is gleaned thereby.

13. The method of claim 10, wherein the generating comprises generating the search-engine query from highly-ranked entries from the stored identity-theft nomenclature.

14. The method of claim 1, wherein the at least one computer-network resource is a chat room.

15. The method of claim 14, wherein the collecting comprises distinguishing spam postings from other dialog.

16. The method of claim 14, wherein the collecting comprises logging chat dialog into a chat log database.

17. The method of claim 16, wherein the processing comprises discovering new chat rooms, the discovering comprising analyzing chat dialogs stored in the chat log database.

18. The method of claim 17, wherein the discovering comprises analyzing a frequency of the stored identity-theft nomenclature in the chat dialogs.

19. A computer-program product comprising a computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:

generating a search-engine query from stored identity-theft nomenclature;

querying at least one search engine via the search-engine query;

crawling at least one computer-network resource identified via the querying;

collecting identity-theft information from the at least one computer-network resource;

processing the identity-theft information for compromised personally-identifying information (PII); and

wherein the processing comprises;

analyzing the identity-theft information for new identity-theft nomenclature; and

storing any new identity-theft nomenclature with the stored identity-theft nomenclature.