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.
CITATION STYLE
Hales, G., & Bayne, E. (2019). Investigating Visualisation Techniques for Rapid Triage of Digital Forensic Evidence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11594 LNCS, pp. 277–293). Springer Verlag. https://doi.org/10.1007/978-3-030-22351-9_19
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