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Overill, Richard E. and Collie, Jan
(2021).
DOI: https://doi.org/10.1080/20961790.2020.1837429
Abstract
Unlike conventional forensics, digital forensics does not at present generally quantify the results of its investigations. It is suggested that digital forensics should aim to catch-up with other forensic disciplines by using Bayesian and other numerical methodologies to quantify its investigations’ results. Assessing the plausibility of alternative hypotheses (or propositions, or claims) which explain how recovered digital evidence came to exist on a device could assist both the prosecution and the defence sides in criminal proceedings: helping the prosecution to decide whether to proceed to trial and helping defence lawyers to advise a defendant how to plead. This paper reviews some numerical approaches to the goal of quantifying the relative weights of individual items of digital evidence and the plausibility of hypotheses based on that evidence. The potential advantages enabling the construction of cost-effective digital forensic triage schemas are also outlined.
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About
- Item ORO ID
- 75314
- Item Type
- Journal Item
- ISSN
- 2471-1411
- Extra Information
- Forensic sciences; digital forensic metrics; measures of plausibility; Bayesian networks; probability theory; statistical theory; complexity theory; information theory
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2021 Richard E. Overill, © 2021 Jan Collie
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