Investigating visualisation techniques for rapid triage of digital forensic evidence

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Abstract

This study investigates the feasibility of a tool that allows digital forensics (DF) investigators to efficiently triage device datasets during the collection phase of an investigation. This tool utilises data visualisation techniques to display images found in near real-time to the end user. Findings indicate that participants were able to accurately identify contraband material whilst using this tool, however, classification accuracy dropped slightly with larger datasets. Combined with participant feedback, the results show that the proposed triage method is indeed feasible, and this tool provides a solid foundation for the continuation of further work.
Original languageEnglish
Title of host publicationHCI for cybersecurity, privacy and trust
Subtitle of host publicationfirst international conference, HCI-CPT 2019, held as part of the 21st HCI international conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, proceedings
EditorsAbbas Moallem
Place of PublicationCham
PublisherSpringer
Pages277-293
Number of pages17
ISBN (Electronic)9783030223519
ISBN (Print)9783030223502
DOIs
Publication statusPublished - 12 Jun 2019
EventHCI International 2019: 21st International Conference on Human-Computer Interaction - Walt Disney World Swan and Dolphin Resort, Orlando, United States
Duration: 26 Jul 201931 Jul 2019
http://2019.hci.international/

Publication series

NameLecture Notes in Computer Series
PublisherSpringer
Volume11594
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceHCI International 2019
Abbreviated titleHCI International
CountryUnited States
CityOrlando
Period26/07/1931/07/19
Internet address

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  • Cite this

    Hales, G., & Bayne, E. (2019). Investigating visualisation techniques for rapid triage of digital forensic evidence. In A. Moallem (Ed.), HCI for cybersecurity, privacy and trust: first international conference, HCI-CPT 2019, held as part of the 21st HCI international conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, proceedings (pp. 277-293). (Lecture Notes in Computer Series; Vol. 11594). Springer. https://doi.org/10.1007/978-3-030-22351-9_19