In this paper, we describe the highlights of the COPLINK Center for law enforcement and homeland security project. Two new components of the project are described, namely, identity resolution and mutual information.

References

[1]

Chen H., D. Zeng, H. Atabakhsh, W. Wyzga, and J. Schroeder, "COPLINK managing law enforcement data and knowledge," Communications of the ACM, vol. 46, pp. 28--34, 2003.

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[2]

G. Wang, "A Multi-Layer Graphical Model for Approximate Identity Matching," In Proceedings of the AIS Americas Conference on Information Systems (AMCIS 2005), Omaha, NE, USA, August 11--14, 2005.

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[3]

Kaza, S., Wang, T., Gowda, H. and Chen, H. Target Vehicle Identification using Mutual Information. In Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, Vienna, Austria, 2005.

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Cited By

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Hassan MAli SImad MBibi S(2022)New Advancements in Cybersecurity: A Comprehensive SurveyBig Data Analytics and Computational Intelligence for Cybersecurity10.1007/978-3-031-05752-6_1(3-17)Online publication date: 2-Sep-2022
https://doi.org/10.1007/978-3-031-05752-6_1
Wang RJi W(2020)Computational Intelligence for Information Security: A SurveyIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2019.29234264:5(616-629)Online publication date: Oct-2020
https://doi.org/10.1109/TETCI.2019.2923426
Myers KDeNegre AGallos LLemanski NMayberry ARedere ASchwab SStringham OFefferman N(2019) Dynamic Ad Hoc Social Networks in Improvised Intelligence/Counter-Intelligence Exercises: A Department of Homeland Security Red-Team Blue-Team Live-Action Roleplay Journal of Homeland Security and Emergency Management10.1515/jhsem-2018-002717:1Online publication date: 13-Jun-2019
https://doi.org/10.1515/jhsem-2018-0027
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Index Terms

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
1. Information systems
  1. Information systems applications
    1. Data mining
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic algorithms
    2. Probabilistic reasoning algorithms
      1. Markov-chain Monte Carlo methods
      2. Sequential Monte Carlo methods

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dg.o '06: Proceedings of the 2006 international conference on Digital government research

May 2006

526 pages

Conference Chairs:
José A. B. Fortes
University of Florida
,
Ann Macintosh
Napier University

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Digital Government Society of North America

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Published: 21 May 2006

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dg.o '06: Digital government research

May 21 - 24, 2006

California, San Diego, USA

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dg.o '06 Paper Acceptance Rate 20 of 58 submissions, 34%;

Overall Acceptance Rate 150 of 271 submissions, 55%

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Hassan MAli SImad MBibi S(2022)New Advancements in Cybersecurity: A Comprehensive SurveyBig Data Analytics and Computational Intelligence for Cybersecurity10.1007/978-3-031-05752-6_1(3-17)Online publication date: 2-Sep-2022
https://doi.org/10.1007/978-3-031-05752-6_1
Wang RJi W(2020)Computational Intelligence for Information Security: A SurveyIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2019.29234264:5(616-629)Online publication date: Oct-2020
https://doi.org/10.1109/TETCI.2019.2923426
Myers KDeNegre AGallos LLemanski NMayberry ARedere ASchwab SStringham OFefferman N(2019) Dynamic Ad Hoc Social Networks in Improvised Intelligence/Counter-Intelligence Exercises: A Department of Homeland Security Red-Team Blue-Team Live-Action Roleplay Journal of Homeland Security and Emergency Management10.1515/jhsem-2018-002717:1Online publication date: 13-Jun-2019
https://doi.org/10.1515/jhsem-2018-0027
Cunningham AWalsh JThomas B(2018)Immersive Visualisation of Geo-Temporal Narratives in Law Enforcement2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)10.1109/BDVA.2018.8533896(1-8)Online publication date: Oct-2018
https://doi.org/10.1109/BDVA.2018.8533896
Wen CHsu PCheng M(2017)Applying intelligent methods in detecting maritime smugglingMaritime Economics & Logistics10.1057/mel.2016.319:3(573-599)Online publication date: 22-Aug-2017
https://doi.org/10.1057/mel.2016.3
Chiu CKu YLie TChen Y(2011)Internet Auction Fraud Detection Using Social Network Analysis and Classification Tree ApproachesInternational Journal of Electronic Commerce10.2753/JEC1086-441515030615:3(123-147)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.2753/JEC1086-4415150306

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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

Target vehicle identification for border safety with modified mutual information

Enhancing border security: Mutual information analysis to identify suspect vehicles

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