FRAUD DETECTION SYSTEM AUDIT CAPABILITY

• US 20120278868A1
• Filed: 04/19/2012
• Published: 11/01/2012
• Est. Priority Date: 04/29/2011
• Status: Active Grant

• Current Assignee: Visa International Service Association (Visa, Inc.)
• Original Assignee: Visa International Service Association (Visa, Inc.)
• Inventors: Boding, B. Scott, Siddens, Cory H.
• Granted Patent: US 9,129,321 B2
• Time in Patent Office: Days
• US Class Current: 726/5
• CPC Class Codes: G06Q 20/12 specially adapted for electronic shopping systems
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 20/405 Establishing or using transaction specific rules
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

Embodiments of the invention are directed to a fraud detection system that records an audit log of modifications made by a user to a selection of fraud detection rules in a merchant profile. The audit log contains details of the modifications and the user associated with the modifications. A search can be conducted on the audit log to determine details of modifications made to a merchant profile within the fraud detection system.

Claims

1. A method comprising:

receiving, at a server computer, a modification to a selection of fraud detection rules from a client computer operated by a user;

recording the modification, by the server computer, in a database and associating the user with the modification,

searching the database, by the server computer, for modifications associated with a first fraud detection rule; and

returning a search result based on the modifications to the first fraud detection rule.

2. The method of claim 1 further comprising:

parsing the search result for the modifications to the first fraud detection rule made by the user.

3. The method of claim 1 further comprising:

searching the database, by the server computer, for modifications to the selection of fraud detection rules made by the user.

4. The method of claim 1, wherein recording the modification to the selection of fraud detection rules comprises storing the modification and the user ID of the user who made the modification.

5. The method of claim 1 further comprising:

authenticating the identity of the user prior to permitting the user to make the modification to the selection of fraud detection rules, wherein authenticating comprises verifying a login ID and password of the user.

6. The method of claim 1, further comprising:

restricting the returned search result based on text contained in a character string.

7. The method of claim 1 further comprising:

receiving, from a client computer, search parameters for searching the database.

8. A server computer comprising:

a processor; and

a non-transitory computer-readable storage medium, comprising code executable by the processor for implementing a method comprising;

receiving, at the server computer, a modification to a selection of fraud detection rules from a client computer operated by a user;

recording the modification, by the server computer, in a database and associating the user with the modification,

searching the database, by the server computer, for modifications associated with a first fraud detection rule; and

returning a search result based on the modifications to the first fraud detection rule.

9. The server computer of claim 8, wherein the method further comprises:

parsing the search result for the modifications to the first fraud detection rule made by the user.

10. The server computer of claim 8. wherein the method further comprises:

searching the database, by the server computer, for modifications to the selection of fraud detection rules made by the user.

11. The server computer of claim 8, wherein recording the modification to the selection of fraud detection rules comprises storing the modification and the user ID of the user who made the modification

12. The server computer of claim 8, wherein the method further comprises:

authenticating the identity of the user prior to permitting the user to make the modification to the selection of fraud detection rules, wherein authenticating comprises verifying a login ID and password of the user.

13. The server computer of claim 8, wherein the method further comprises:

restricting the returned search result based on text contained in a character string.

14. The server computer of claim 8, wherein the method further comprises:

receiving, from a client computer, search parameters for searching the database.

15. A method comprising:

transmitting, by a client computer, to a fraud detection system via a communications network, a set of search parameters for conducting a search for modifications to a selection of fraud detection rules in a merchant profile in a fraud rules modification database; and

receiving, at the client computer, from the fraud detection system, a search result based on the set of search parameters.

16. The method of claim 15 further comprising:

narrowing the scope of the search result based on modifications to the selection of fraud detection rules made by a user.

17. The method of claim 15, wherein a user is associated with the merchant profile.

18. The method of claim 15, wherein the merchant profile is associated with one or more users who have access to modify the selection of fraud detection rules contained in the merchant profile.

19. A client computer comprising:

a processor; and

a non-transitory computer-readable storage medium, comprising code executable by the processor for implementing a method comprising;

transmitting, by the client computer, to a fraud detection system via a communications network, a set of search parameters for conducting a search for modifications to a selection of fraud detection rules in a merchant profile in a fraud rules modification database; and

receiving, at the client computer, from the fraud detection system, a search result based on the set of search parameters.

20. The client computer of claim 19, wherein the method further comprises:

narrowing the scope of the search result based on modifications to the selection of fraud detection rules made by a user.