Using Bayesian Networks to Quantify Digital Forensic Evidence and Hypotheses

Add to your list(s) Download to your calendar using vCal

• Richard Overill (King's College London)
• Tuesday 27 September 2016, 15:30-16:15
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact INI IT.

FOSW02 - Bayesian networks and argumentation in evidence analysis

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. 

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

• All CMS events
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Featured lists
• INI info aggregator
• Interested Talks
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 1, Newton Institute
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.