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Computer assisted extraction, merging and correlation of identities with tracks inspector

Published: 10 June 2013 Publication History

Abstract

With the pervasiveness of computers and mobile devices, digital forensics becomes more important in law enforcement. Detectives increasingly depend on the scarce support of digital specialists which impedes efficiency of criminal investigations. Tracks Inspector is a commercial solution that enables non-technical investigators to easily investigate digital evidence using a web browser. We will demonstrate how Tracks Inspector can be used to discover the most important persons and groups in case data by investigators without requiring the help of digital forensics experts.

References

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E. Casey. Automation and artificial intelligence in digital forensics. EAFS2012, Aug. 2012. Abstract published in http://www.eafs2012.eu/sites/default/files/files/abstract_book_eafs2012.pdf.
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R. Doe. The e-dicsovery reference model (edrm). the review stage., Dec. 2010.
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S. Garfinkel. Forensic feature extraction and cross-drive analysis. digital investigation, 3:71--81, 2006.
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M. Grossman and G. Cormack. Technology-assisted review in e-discovery can be more effective and more efficient than exhaustive manual review. Rich. JL & Tech., 17:11--16, 2011.
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J. Henseler, J. Hofste, and A. Post. Tracks inspector: Putting digital investigations in the hands of investigators. Submitted to the ISDFS 2013, 2013.
[6]
J. Hofste. Scalable identity extraction and ranking in tracks inspector. Master's thesis, Univ. of Twente, November 2012.
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T. Velden, A. Haque, and C. Lagoze. Resolving author name homonymy to improve resolution of structures in co-author networks. In Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries, pages 241--250. ACM, 2011.

Cited By

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  • (2013)Digital-Forensics Based Pattern Recognition for Discovering Identities in Electronic EvidenceProceedings of the 2013 European Intelligence and Security Informatics Conference10.1109/EISIC.2013.24(112-116)Online publication date: 12-Aug-2013
  • (2013)Semantic Linking and Contextualization for Social Forensic Text AnalysisProceedings of the 2013 European Intelligence and Security Informatics Conference10.1109/EISIC.2013.21(96-99)Online publication date: 12-Aug-2013

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Published In

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ICAIL '13: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
June 2013
277 pages
ISBN:9781450320801
DOI:10.1145/2514601
  • Conference Chair:
  • Enrico Francesconi,
  • Program Chair:
  • Bart Verheij

Sponsors

  • ITTIG-CNR: Istituto di Teoria e Tecniche dell'Informazione Giuridica - Consiglio Nazionale delle Ricerche
  • IAAIL: Intl Asso for Artifical Intel & Law

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 June 2013

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Author Tags

  1. assisted identity merging
  2. evidence unit correlation
  3. forensic identity research
  4. identity extraction
  5. identity resolution

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  • Research-article

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ICAIL '13
Sponsor:
  • ITTIG-CNR
  • IAAIL

Acceptance Rates

ICAIL '13 Paper Acceptance Rate 17 of 53 submissions, 32%;
Overall Acceptance Rate 69 of 169 submissions, 41%

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Cited By

View all
  • (2013)Digital-Forensics Based Pattern Recognition for Discovering Identities in Electronic EvidenceProceedings of the 2013 European Intelligence and Security Informatics Conference10.1109/EISIC.2013.24(112-116)Online publication date: 12-Aug-2013
  • (2013)Semantic Linking and Contextualization for Social Forensic Text AnalysisProceedings of the 2013 European Intelligence and Security Informatics Conference10.1109/EISIC.2013.21(96-99)Online publication date: 12-Aug-2013

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