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Reasoning about Evidence using Bayesian Networks
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.
https://hal.inria.fr/hal-01523702
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 5:10:11 PM
Last modification on : Thursday, March 5, 2020 - 4:46:27 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:44:59 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 5:10:11 PM
Last modification on : Thursday, March 5, 2020 - 4:46:27 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:44:59 AM
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Distributed under a Creative Commons Attribution 4.0 International License