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Conference Papers Year : 2011

Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations

Abstract

Research on using Bayesian networks to enhance digital forensic investigations has yet to evaluate the quality of the output of a Bayesian network. The evaluation can be performed by assessing the sensitivity of the posterior output of a forensic hypothesis to the input likelihood values of the digital evidence. This paper applies Bayesian sensitivity analysis techniques to a Bayesian network model for the well-known Yahoo! case. The analysis demonstrates that the conclusions drawn from Bayesian network models are statistically reliable and stable for small changes in evidence likelihood values.
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hal-01569550 , version 1 (27-07-2017)

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Michael Kwan, Richard Overill, Kam-Pui Chow, Hayson Tse, Frank Law, et al.. Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations. 7th Digital Forensics (DF), Jan 2011, Orlando, FL, United States. pp.231-243, ⟨10.1007/978-3-642-24212-0_18⟩. ⟨hal-01569550⟩
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