US 2009/0192810 A1 · FRAUD DETECTION SYSTEM & METHOD

Abstract

Methods and systems are disclosed for combining the results from multiple fraud detection devices into a single, ordered list of suspect items. The confidence value for each suspect item identified by each fraud detection process may be calculated. Calculated confidence values may be refined by resealing the confidence value. The confidence value of items from multiple lists may then be further refined using a voting process. Use of a voting process takes into account the determinations of each of the fraud detection processes in order to calculate or refine the confidence values associated with each suspect item. After conducting the voting process, the suspect items may be combined into a single suspect list. The new suspect list may be ordered by confidence values. Additionally, the expected loss of each item may be calculated for each suspect item. Suspect lists may also be ordered according to expected loss.

Claims20

Dependent claims

A system comprising:

at least one processor;
computer storage media storing computer-executable instructions for causing the at least one processor to perform a method of creating an ordered suspect list, the method comprising the steps of:
receiving output from the fraud detection process, wherein the output from the fraud detection process is a suspect list of suspect items and wherein each suspect item is associated with a type of suspect situation;
retrieving historically confirmed fraudulent data, wherein the confirmed fraudulent data comprises information about items previously confirmed to have been fraudulent;
retrieving historically flagged suspect data, wherein the flagged suspect data comprises information about items that have been previously flagged by the fraud detection process due to one of the suspect situations;
assigning a confidence value for each suspect item on the suspect list using the confirmed fraudulent data and the flagged suspect data;
and
ordering the suspect list.

5 more elements

A computer implemented method for using output from first and second fraud detection processes to produce an ordered suspect list, the computer implemented method comprising:

retrieving confirmed fraudulent data, wherein the confirmed fraudulent data comprises information about items previously confirmed to have been fraudulent;
retrieving the output of the first fraud detection process, wherein the output from the first fraud detection process is a first suspect list of suspect items, and wherein each item is associated with a type of suspect situation;
retrieving a first set of historically flagged suspect data, wherein the first set of flagged suspect data relates to the first fraud detection process;
calculating a confidence value for each suspect item on the first suspect list using the confirmed fraudulent data and the first set of flagged suspect data;
retrieving the output of the second fraud detection process, wherein the output from the second fraud detection process is a second suspect list of suspect items, and wherein each item is associated with a type of suspect situation;
retrieving a second set of flagged suspect data, wherein the second set of flagged suspect data relates to the second fraud detection process;
assigning a confidence value for each suspect item on the second suspect list using the confirmed fraudulent data and the second set of flagged suspect data;
applying a voting process to the first and second suspect lists to calculate the confidence value for each suspect item;
and
creating an ordered suspect list.

7 more elements

Dependencies are inferred from the claim text.

Fraud detection system & method

Life of this patent

Fraud detection system & method

Life of this patent

Abstract

Claims20