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 language | English |
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Title of host publication | HCI for cybersecurity, privacy and trust |
Subtitle of host publication | 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 |
Editors | Abbas Moallem |
Place of Publication | Cham |
Publisher | Springer |
Pages | 277-293 |
Number of pages | 17 |
ISBN (Electronic) | 9783030223519 |
ISBN (Print) | 9783030223502 |
DOIs | |
Publication status | Published - 12 Jun 2019 |
Event | HCI International 2019: 21st International Conference on Human-Computer Interaction - Walt Disney World Swan and Dolphin Resort, Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019 http://2019.hci.international/ |
Publication series
Name | Lecture Notes in Computer Series |
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Publisher | Springer |
Volume | 11594 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | HCI International 2019 |
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Abbreviated title | HCI International |
Country/Territory | United States |
City | Orlando |
Period | 26/07/19 → 31/07/19 |
Internet address |
Keywords
- Digital forensics
- Data visualisation
- Computer security
- File carving
- Digital triage