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Sensitivity Analysis of a Bayesian Network for Reasoning about Digital Forensic Evidence

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6 Author(s)
Overill, R.E. ; Dept. of Comput. Sci., King''s Coll. London, London, UK ; Silomon, J.A.M. ; Kwan, Michael Y.K. ; Kam-Pui Chow
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A Bayesian network representing an actual prosecuted case of illegal file sharing over a peer-to-peer network has been subjected to a systematic and rigorous sensitivity analysis. Our results demonstrate that such networks are usefully insensitive both to the occurrence of missing evidential traces and to the choice of conditional evidential probabilities. The importance of this finding for the investigation of digital forensic hypotheses is highlighted.

Published in:

Human-Centric Computing (HumanCom), 2010 3rd International Conference on

Date of Conference:

11-13 Aug. 2010

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