System and method for identity-based fraud detection through graph anomaly detection
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United States of America Patent
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Jul 21, 2009
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N/A
app pub date -
Dec 30, 2004
filing date -
May 12, 2003
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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 be 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.
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