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SUMMARY:Using Bayesian Networks to Quantify Digital Forensic Evidence and 
 Hypotheses - Richard Overill (King's College London)
DTSTART:20160927T143000Z
DTEND:20160927T151500Z
UID:TALK67611@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION: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 eviden
 ce connected with a case\; and (ii)  the relative plausibility of competin
 g hypotheses (or narratives) purporting to  explain how the recovered item
 s of digital evidence (traces) were created. <br> <span><br>In this presen
 tation\, we review the contributions that Bayesian Networks are  capable o
 f making to the understanding\, analysis and evaluation of crimes whose  p
 rimary items of evidence are digital in nature\, and show how as a consequ
 ence  they may fulfill both of the two above desiderata.&nbsp\;</span>
LOCATION:Seminar Room 1\, Newton Institute
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