Digital-forensics based pattern recognition for discovering identities in electronic evidence

Hans Henseler, Jop Hofsté, Maurice van Keulen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
352 Downloads (Pure)

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. This paper proposes and algorithm to extract, merge and rank identities that are encountered in the electronic evidence during processing. Two experiments are described demonstrating that our approach can assist with the identification of frequently occurring identities so that investigators can prioritize the investigation of evidence units accordingly.
Original languageUndefined
Title of host publicationProceedings of the European Intelligence and Security Informatics Conference (EISIC 2013)
Place of PublicationUSA
PublisherIEEE Computer Society
Pages112-116
Number of pages5
ISBN (Print)978-0-7695-5062-6
DOIs
Publication statusPublished - Aug 2013

Publication series

Name
PublisherIEEE Computer Society

Keywords

  • EWI-23401
  • IR-86349
  • METIS-297675

Cite this

Henseler, H., Hofsté, J., & van Keulen, M. (2013). Digital-forensics based pattern recognition for discovering identities in electronic evidence. In Proceedings of the European Intelligence and Security Informatics Conference (EISIC 2013) (pp. 112-116). USA: IEEE Computer Society. https://doi.org/10.1109/EISIC.2013.24