Discovering identity problems: A case study

Alan G. Wang, Homa Atabakhsh, Tim Petersen, Hsinchun Chen

Research output: Contribution to journalConference article

12 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)368-373
Number of pages6
JournalLECTURE NOTES IN COMPUTER SCIENCE
Volume3495
StatePublished - Sep 26 2005
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States
Duration: May 19 2005May 20 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Wang, A. G., Atabakhsh, H., Petersen, T., & Chen, H. (2005). Discovering identity problems: A case study. LECTURE NOTES IN COMPUTER SCIENCE, 3495, 368-373.