Discovering identity problems: a case study

Authors:
Alan G. Wang;Homa Atabakhsh;Tim Petersen;Hsinchun Chen
Affiliations:
Department of Management Information Systems, University of Arizona, Tucson, AZ;Department of Management Information Systems, University of Arizona, Tucson, AZ;Tucson Police Department, Tucson, AZ;Department of Management Information Systems, University of Arizona, Tucson, AZ
Venue:
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Year:
2005

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Abstract

Identity resolution is central to fighting against crime and terrorist activities in various ways. Current information systems and technologies deployed in law enforcement agencies are neither adequate nor effective for identity resolution. In this research we conducted a case study in a local police department on problems that produce difficulties in retrieving identity information. We found that more than half (55.5%) of the suspects had either a deceptive or an erroneous counterpart existing in the police system. About 30% of the suspects had used a false identity (i.e., intentional deception), while 42% had records alike due to various types of unintentional errors. We built a taxonomy of identity problems based on our findings.