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)
616 Downloads (Pure)


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
Number of pages5
ISBN (Print)978-0-7695-5062-6
Publication statusPublished - Aug 2013
EventWorkshop on Forensic Text Analytics (FORTAN 2013), Uppsala, Sweden: Proceedings of the Workshop on Forensic Text Analytics (FORTAN 2013) - USA
Duration: 1 Aug 2013 → …

Publication series

PublisherIEEE Computer Society


ConferenceWorkshop on Forensic Text Analytics (FORTAN 2013), Uppsala, Sweden
Period1/08/13 → …


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

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