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Conference Paper: Reasoning about evidence using Bayesian networks
Title | Reasoning about evidence using Bayesian networks |
---|---|
Authors | |
Keywords | Digital evidence Bayesian networks Evidentiary reasoning |
Issue Date | 2012 |
Publisher | Springer. |
Citation | The 8th Annual IFIP WG 11.9 International Conference on Digital Forensics, Pretoria, South Africa, 3-5 January 2012. In IFIP Advances in Information and Communication Technology, 2012, v. 383 chapter 7, p. 99-113 How to Cite? |
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 Bit-Torrent file sharing, and explain the causal effects underlying the legal arguments. |
Description | IFIP Advances in Information and Communication Technology, v. 383 has title: Advances in Digital Forensics VIII |
Persistent Identifier | http://hdl.handle.net/10722/169301 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Tse, H | en_US |
dc.contributor.author | Chow, KP | en_US |
dc.contributor.author | Kwan, M | en_US |
dc.date.accessioned | 2012-10-18T08:49:43Z | - |
dc.date.available | 2012-10-18T08:49:43Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | The 8th Annual IFIP WG 11.9 International Conference on Digital Forensics, Pretoria, South Africa, 3-5 January 2012. In IFIP Advances in Information and Communication Technology, 2012, v. 383 chapter 7, p. 99-113 | en_US |
dc.identifier.isbn | 978-3-642-33962-2 | - |
dc.identifier.uri | http://hdl.handle.net/10722/169301 | - |
dc.description | IFIP Advances in Information and Communication Technology, v. 383 has title: Advances in Digital Forensics VIII | - |
dc.description.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 Bit-Torrent file sharing, and explain the causal effects underlying the legal arguments. | - |
dc.language | eng | en_US |
dc.publisher | Springer. | - |
dc.relation.ispartof | IFIP Advances in Information and Communication Technology | en_US |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Digital evidence | - |
dc.subject | Bayesian networks | - |
dc.subject | Evidentiary reasoning | - |
dc.title | Reasoning about evidence using Bayesian networks | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Tse, H: hkstse@hkusuc.hku.hk | en_US |
dc.identifier.email | Chow, KP: chow@cs.hku.hk | - |
dc.identifier.email | Kwan, M: mikekwan@hku.hk | - |
dc.identifier.authority | Chow, KP=rp00111 | en_US |
dc.identifier.hkuros | 211504 | en_US |
dc.identifier.volume | 383, chapter 7 | - |
dc.identifier.spage | 99 | en_US |
dc.identifier.epage | 113 | en_US |