System and method for identity-based fraud detection
First Claim
1. A method for determining a likelihood of fraud associated with an input identity record, comprising:
- receiving an identity record comprising identity related information, wherein the received identity record comprises fields configured to store the identity related information, and wherein the fields form nodes;
retrieving identity records from a database of identity records generated from a plurality of identity records received from a plurality of client institutions;
linking the received identity record with the retrieved identity records based on the identity related information, wherein the plurality of linked identity records are stored as a graphical network, and wherein the graphical network comprises a plurality of graphs defined by sets of nodes and sets of edges composed of pairs of nodes sharing a common characteristic;
evaluating the received identity record using the linked, retrieved identity records;
generating a fraud score indicative of the likelihood of fraud associated with the input identity record based on the evaluation of the received identity record;
returning the fraud score to a client institution;
receiving updated identity related information from the client institution based on challenge response interrogations initiated in response to the generated fraud score; and
providing enhanced indication of the likelihood of fraud associated with the input identity record.
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Accused Products
Abstract
A method for identifying a fraudulent account application includes receiving a new account application comprising a plurality of identity-related fields and linking the identity-related fields associated with the new account application with identity-related fields associated with a plurality of historical account applications. The links form a graphical pattern on which statistical analysis can performed to determine the likelihood that the new account application is fraudulent. The statistical analysis can comprise comparing the graphical pattern to a known, or normal graphical pattern in order to detect differences, or anomalies occurring in the graphical pattern associated with the new account application.
292 Citations
10 Claims
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1. A method for determining a likelihood of fraud associated with an input identity record, comprising:
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receiving an identity record comprising identity related information, wherein the received identity record comprises fields configured to store the identity related information, and wherein the fields form nodes; retrieving identity records from a database of identity records generated from a plurality of identity records received from a plurality of client institutions; linking the received identity record with the retrieved identity records based on the identity related information, wherein the plurality of linked identity records are stored as a graphical network, and wherein the graphical network comprises a plurality of graphs defined by sets of nodes and sets of edges composed of pairs of nodes sharing a common characteristic; evaluating the received identity record using the linked, retrieved identity records; generating a fraud score indicative of the likelihood of fraud associated with the input identity record based on the evaluation of the received identity record; returning the fraud score to a client institution; receiving updated identity related information from the client institution based on challenge response interrogations initiated in response to the generated fraud score; and providing enhanced indication of the likelihood of fraud associated with the input identity record. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification