Franqueira, Virginia N.L., Horsman, Graeme (2020) Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice. Forensic Science International: Digital Investigation, 32 (Suppl.). p. 300923. ISSN 1742-2876. (doi:10.1016/j.fsidi.2020.300923) (KAR id:79313)
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Official URL: https://doi.org/10.1016/j.fsidi.2020.300923 |
Abstract
Digital forensic practitioners are increasingly facing examinations which are both complex in nature and structure. Throughout this process, during the examination and analysis phases, the practitioner is constantly drawing logical inferences which will be reflected in the reporting of results. Therefore, it is important to expose how all the elements of an investigation fit together to allow review and scrutiny, and to support associated parties to understand the components within it. This paper proposes the use of ‘Structured Argumentation’ as a valuable and flexible ingredient of the practitioners’ thinking toolbox. It explores this approach using three case examples which allow discussion of the benefits and application of structured argumentation to real world contexts. We argue that, despite requiring a short learning curve, structured argumentation is a practical method which promotes accessibility of findings facilitating communication between technical and legal parties, peer review, logical reconstruction, jury interpretation, and error detection.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.fsidi.2020.300923 |
Additional information: | This paper has received the “best paper award” at DFRWS EU 2020: https://twitter.com/DFRWS/status/1268601885335977986?s=20 |
Uncontrolled keywords: | Structured Argumentation, Toulmin, Investigation Process, Digital Forensics, Logical Reconstruction |
Subjects: | Q Science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Virginia Franqueira |
Date Deposited: | 16 Dec 2019 12:25 UTC |
Last Modified: | 05 Nov 2024 12:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/79313 (The current URI for this page, for reference purposes) |
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