Coplink center: social network analysis and identity deception detection for law enforcement and homeland security intelligence and security informatics: a crime data mining approach to developing border safe research

Authors:
Hsinchun Chen;Homa Atabakhsh;Jennifer Jie Xu;Alan Gang Wang;Byron Marshall;Siddharth Kaza;Lu Chunju Tseng;Shauna Eggers;Hemanth Gowda;Tim Petersen;Chuck Violette
Affiliations:
University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona
Venue:
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Year:
2005

Citing 3
Cited 0

COPLINK: managing law enforcement data and knowledge

Communications of the ACM
Automatically detecting deceptive criminal identities

Communications of the ACM - Homeland security
Untangling criminal networks: a case study

ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics

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Abstract

The goal of the COPLINK project is to develop information and knowledge management systems technologies and methodology appropriate for capturing, accessing, analyzing, visualizing, and sharing law enforcement related information. Continuing our pursuit of this goal, we have developed a framework for creating cross-jurisdictional Criminal Activity Networks for social network analysis, and have constructed a taxonomy of criminal identity resolution problems for detecting intentional identity deception and unintentional identity errors.