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Conference Paper: Reasoning about evidence using Bayesian networks

TitleReasoning about evidence using Bayesian networks
Authors
Tse, HChow, KPKwan, M
KeywordsDigital evidence
Bayesian networks
Evidentiary reasoning
Issue Date2012
PublisherSpringer.
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?
AbstractThis 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.
DescriptionIFIP Advances in Information and Communication Technology, v. 383 has title: Advances in Digital Forensics VIII
Persistent Identifierhttp://hdl.handle.net/10722/169301
ISBN
978-3-642-33962-2

 

DC FieldValueLanguage
dc.contributor.authorTse, Hen_US
dc.contributor.authorChow, KPen_US
dc.contributor.authorKwan, Men_US
dc.date.accessioned2012-10-18T08:49:43Z-
dc.date.available2012-10-18T08:49:43Z-
dc.date.issued2012en_US
dc.identifier.citationThe 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. 99-113en_US
dc.identifier.isbn978-3-642-33962-2-
dc.identifier.urihttp://hdl.handle.net/10722/169301-
dc.descriptionIFIP Advances in Information and Communication Technology, v. 383 has title: Advances in Digital Forensics VIII-
dc.description.abstractThis 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.languageengen_US
dc.publisherSpringer.-
dc.relation.ispartofIFIP Advances in Information and Communication Technologyen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectDigital evidence-
dc.subjectBayesian networks-
dc.subjectEvidentiary reasoning-
dc.titleReasoning about evidence using Bayesian networksen_US
dc.typeConference_Paperen_US
dc.identifier.emailTse, H: hkstse@hkusuc.hku.hken_US
dc.identifier.emailChow, KP: chow@cs.hku.hk-
dc.identifier.emailKwan, M: mikekwan@hku.hk-
dc.identifier.authorityChow, KP=rp00111en_US
dc.identifier.hkuros211504en_US
dc.identifier.volume383, chapter 7-
dc.identifier.spage99en_US
dc.identifier.epage113en_US

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