Abstract
This paper presents methods for analyzing the topology of a Bayesian belief network created to qualify and quantify the strengths of investigative hypotheses and their supporting digital evidence. The methods, which enable investigators to systematically establish, demonstrate and challenge a Bayesian belief network, help provide a powerful framework for reasoning about digital evidence. The methods are applied to review a Bayesian belief network constructed for a criminal case involving BitTorrent file sharing, and explain the causal effects underlying the legal arguments.
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© 2012 IFIP International Federation for Information Processing
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Tse, H., Chow, KP., Kwan, M. (2012). Reasoning about Evidence using Bayesian Networks. In: Peterson, G., Shenoi, S. (eds) Advances in Digital Forensics VIII. DigitalForensics 2012. IFIP Advances in Information and Communication Technology, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33962-2_7
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DOI: https://doi.org/10.1007/978-3-642-33962-2_7
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