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System and method for identity-based fraud detection through graph anomaly detection

  • US 7,562,814 B1
  • Filed: 12/30/2004
  • Issued: 07/21/2009
  • Est. Priority Date: 05/12/2003
  • Status: Active Grant
First Claim
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1. A method for identifying a fraudulent account application, comprising:

  • receiving, at an identity records interface, a new account application comprising a plurality of identity-related fields;

    linking, at a fraud detection processor, the identity-related fields associated with the new account application with identity-related fields associated with a plurality of historical account applications stored in a database, the links forming a graphical pattern; and

    performing statistical analysis of the graphical pattern to determine a likelihood that the new account application is fraudulent, wherein the statistical analysis comprises analyzing the graphical pattern to determine whether the graphical pattern is anomalous when considered in relation to a normal graphical pattern.

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