%0 Conference Proceedings
%T Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations
%+ The University of Hong Kong (HKU)
%+ King‘s College London
%A Kwan, Michael
%A Overill, Richard
%A Chow, Kam-Pui
%A Tse, Hayson
%A Law, Frank
%A Lai, Pierre
%Z Part 5: ADVANCED FORENSIC TECHNIQUES
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 7th Digital Forensics (DF)
%C Orlando, FL, United States
%Y Gilbert Peterson
%Y Sujeet Shenoi
%I Springer
%3 Advances in Digital Forensics VII
%V AICT-361
%P 231-243
%8 2011-01-31
%D 2011
%R 10.1007/978-3-642-24212-0_18
%K Forensic investigations
%K Bayesian networks
%K sensitivity analysis
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 11
%Z WG 11.9
%2 https://inria.hal.science/hal-01569550/document
%2 https://inria.hal.science/hal-01569550/file/978-3-642-24212-0_18_Chapter.pdf
%L hal-01569550
%U https://inria.hal.science/hal-01569550
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9
%~ IFIP-AICT-361