Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations

Michael Kwan, Richard Overill, Kam-Pui Chow, Hayson Tse, Frank Law, Pierre Lai

Research output: Chapter in Book/Report/Conference proceedingConference paper

9 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAdvances in Digital Forensics VII
Subtitle of host publication7th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 31 – February 2, 2011, Revised Selected Papers
EditorsGilbert Peterson, Sujeet Shenoi
PublisherSpringer
Pages231-243
ISBN (Electronic)978-3-642-24212-0
ISBN (Print)978-3-642-24211-3
DOIs
Publication statusPublished - 2011

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer Berlin Heidelberg
Volume361
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

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