Using Bayesian Networks to Quantify Digital Forensic Evidence and Hypotheses
- 👤 Speaker: Richard Overill (King's College London)
- 📅 Date & Time: Tuesday 27 September 2016, 15:30 - 16:15
- 📍 Venue: Seminar Room 1, Newton Institute
Abstract
In what appears to be an increasingly litigious age, courts, legal officials and law enforcement officers in a number of adversarial legal jurisdictions are starting to look for quantitative indications of (i) the probative value (or weight) of individual items of digital evidence connected with a case; and (ii) the relative plausibility of competing hypotheses (or narratives) purporting to explain how the recovered items of digital evidence (traces) were created.
In this presentation, we review the contributions that Bayesian Networks are capable of making to the understanding, analysis and evaluation of crimes whose primary items of evidence are digital in nature, and show how as a consequence they may fulfill both of the two above desiderata.
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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Richard Overill (King's College London)
Tuesday 27 September 2016, 15:30-16:15