SYSTEM, APPARATUS AND METHODS FOR COMPARING FRAUD PARAMETERS FOR APPLICATION DURING PREPAID CARD ENROLLMENT AND TRANSACTIONS

• US 20100070424A1
• Filed: 09/23/2009
• Published: 03/18/2010
• Est. Priority Date: 06/04/2007
• Status: Active Grant

• Current Assignee: Justin T. Monk
• Original Assignee: Justin T. Monk
• Inventors: Monk, Justin T.
• Granted Patent: US 8,589,285 B2
• Time in Patent Office: Days
• US Class Current: 705/318
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 20/3552 Downloading or loading of personalisation data
• 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 30/0185 Product, service or business identity fraud
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: H04M 15/00 Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
• CPC Class Codes: H04M 15/47 Fraud detection or prevention means
• CPC Class Codes: H04M 2215/0148 Fraud detection or prevention means

Abstract

An apparatus is disclosed. The apparatus is for comparing a set of production fraud parameters with one or more sets of test or proposed fraud parameters run against prepaid card production data in a prepaid card analysis. The apparatus may include a system for uploading a set of production fraud parameters and one or more sets of test fraud parameters, a processing engine for receiving the uploaded parameters for running production data against the set of production fraud parameters in tandem with the one or more sets of test fraud parameters to produce a set of suspected fraud cases triggered by each set of fraud parameters, and one or more databases integrated with or in communications with the processing engine for card validation

Claims

1-20. -20. (canceled)

21. A method of optimizing fraud parameters for prepaid device fraud analysis, comprising:

creating a set of production fraud parameters for prepaid device fraud analysis, the set comprising a plurality of parameters;

configuring, using a processor, one or more production fraud parameters to create one or more sets of test fraud parameters;

running the set of production fraud parameters and the one or more test fraud parameters against production data to produce a result set of one or more suspected fraud cases for each of the fraud parameter sets; and

comparing the result sets to determine an optimal fraud parameter configuration based on desired results.

22. The method of claim 21, wherein each of the plurality of parameters is defined by at least one of one or more limits, one or more thresholds and one or more rules.

23. The method of claim 22, wherein creating the set of production fraud parameters comprises assigning at least one value to one or more of the limits and one or more of the thresholds.

24. The method of claim 22, wherein the assigned values for at least one of the one or more limits and at least one of the one or more thresholds are selectively changed to create the one or more test fraud parameters.

25. The method of claim 21, wherein creating the set of production fraud parameters further comprises associating triggers with the one or more rules.

26. The method of claim 25, wherein at least one trigger is selectively changed to create one or more sets of test fraud parameters based on the production fraud parameters.

27. The method of claim 22, wherein the one or more rules are configurable by selectively activating or deactivating the one or more rules within the fraud parameters.

28. The method of claim 27, wherein at least one of the one or more rules are selectively activated or deactivated in comparison to the set of production fraud parameters to create each of the one or more sets of test fraud parameters.

29. The method of claim 21, wherein a graphical user interface is provided to facilitate configuration of the production and test fraud parameters.

30. The method of claim 21, further comprising determining a difference between a number of suspected fraud cases associated with each production fraud parameter and a number of suspected fraud cases associated with a corresponding test fraud parameter.

31. The method of claim 30, wherein the difference is a percentage difference.

32. A system for managing prepaid device fraud analysis, comprising:

a database storing prepaid device production data;

a processor; and

a computer readable medium, coupled to the processor and in communications with the database, comprising code executable by the processor, the computer readable medium comprising code for running production data against a set of production fraud parameters and one or more sets of test fraud parameters to produce a set of suspected fraud cases for each set of the production and test fraud parameters.

33. The system of claim 32, wherein each of the fraud parameters comprise a plurality of fraud triggers defined by one or more limits, one or more thresholds and one or more rules.

34. The system of claim 32, wherein the production data comprises device holder enrollment and load information associated with one or more prepaid devices.

35. The system of claim 32, wherein the one or more limits and the one or more thresholds are further defined by selectively configurable values.

36. The system of claim 33, wherein the one or more rules are further defined by one or more triggers configurable by selectively activating or deactivating within the fraud parameters.

37. An apparatus for optimizing a fraud parameter rule set for analysis of fraud in a prepaid device system, comprising:

one or more databases storing production data;

a processor; and

a computer readable medium, coupled to the processor and in communications with the one or more databases, comprising code executable by the processor, the computer readable medium comprising code for operating a processing engine comprising a platform for running production data against a set of production fraud parameters and one or more sets of test fraud parameters to produce a set of suspected fraud cases triggered by each set of the production and test fraud parameters and calculating a difference in number of fraud cases produced.

38. The apparatus of claim 37, wherein the sets of production and test fraud parameters comprise a plurality of fraud triggers defined by one or more limits, one or more thresholds and one or more rules.

39. The apparatus of claim 38, wherein the limits, thresholds and rules are configurable.

40. The apparatus of claim 37, wherein the production data comprises device holder enrollment and load information associated with one or more prepaid devices.

41. A method comprising:

selecting, using a computer, one or more test fraud parameters, wherein the test fraud parameters make up a first test fraud parameter set and wherein the first test fraud parameter set is run against production data to produce a first result set of one or more suspected fraud cases; and

viewing the first result set wherein the first result set is displayed via a graphical user interface and wherein viewing the first result set includes comparing the first result set to a production result set.

42. The method of claim 41 wherein each of the test fraud parameters is defined by at least one of one or more limits, one or more thresholds and one or more rules.

43. The method of claim 41 further comprising determining, based on comparing the first result set to the production result set, whether the first test fraud parameter set should be moved into production.

44. The method of claim 41 wherein the selecting one or more test fraud parameters is conducted off-line.

45. The method of claim 41 further comprising setting a time for how long the first test fraud parameter set should be run against the production data.

46. The method of claim 41 wherein the first test fraud parameter set is run in tandem with a second test fraud parameter set against the same set of production data wherein a first result set is produced from the first test fraud parameter set and wherein a second result set is produced for the second test fraud parameter set.

47. The method of claim 46 further comprising comparing the first result set and the second result set.