Comprehensive Identity Protection System

Theodore J. Crooks, Uwe F. Mayer and Michael A. Lazarus

Abstract: A system and method for protecting identity fraud are disclosed. A system includes a detection subsystem to identify applications and/or accounts at risk of identity fraud, and a disposition subsystem to process data provided by the detection system and to determine whether identity fraud exists in the applications and/or accounts. According to an implementation, one or more neural network models are defined, each neural network model being configured to handle a class of cases related to the subject and a specific data configuration describing a case of the class. The one or more neural network models are run to generate data requests about the subject's identity, and the data requests are passed to a detection system that monitor transactions associated with the subject. Additional data associated with the transactions is requested until a threshold certainty is achieved or until available data or models are exhausted.

You can download a copy of this patent application.

Mayer25i.pdf  This file contains a scan of the complete application including text and drawings (about 16 pages). This file also is in Portable Document Format (164 Kbytes).

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mayer@math.utah.edu
Fri Sep 11 15:22:48 PDT 2009