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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Kwan, M., Overill, R., Chow, KP., Tse, H., Law, F., Lai, P. (2011). Sensitivity Analysis of Bayesian Networks Used in Forensic Investigations. In: Peterson, G., Shenoi, S. (eds) Advances in Digital Forensics VII. DigitalForensics 2011. IFIP Advances in Information and Communication Technology, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24212-0_18
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DOI: https://doi.org/10.1007/978-3-642-24212-0_18
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