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Conference Paper: Reasoning about evidence using Bayesian networks

TitleReasoning about evidence using Bayesian networks
Authors
KeywordsDigital evidence
Hypotheses
Probability
Bayesian networks
Issue Date2008
PublisherSpringer.
Citation
The 4th Annual IFIP WG 11.9 International Conference on Digital Forensics, Kyoto, Japan, 27-30 January 2008. In IFIP - The International Federation for Information Processing, 2008, v. 285, p. 275-289 How to Cite?
AbstractThere is an escalating perception in some quarters that the conclusions drawn from digital evidence are the subjective views of individuals and have limited scientific justification. This paper attempts to address this problem by presenting a formal model for reasoning about digital evidence. A Bayesian network is used to quantify the evidential strengths of hypotheses and, thus, enhance the reliability and traceability of the results produced by digital forensic investigations. The validity of the model is tested using a real court case. The test uses objective probability assignments obtained by aggregating the responses of experienced law enforcement agents and analysts. The results confirmed the guilty verdict in the court case with a probability value of 92.7%.
DescriptionThis series entitled: Advances in Digital Forensics IV
Persistent Identifierhttp://hdl.handle.net/10722/93350
ISBN
ISSN
2015 SCImago Journal Rankings: 0.160
References

 

DC FieldValueLanguage
dc.contributor.authorKwan, YKen_HK
dc.contributor.authorChow, KPen_HK
dc.contributor.authorLaw, YWen_HK
dc.contributor.authorLai, KYen_HK
dc.date.accessioned2010-09-25T14:58:26Z-
dc.date.available2010-09-25T14:58:26Z-
dc.date.issued2008en_HK
dc.identifier.citationThe 4th Annual IFIP WG 11.9 International Conference on Digital Forensics, Kyoto, Japan, 27-30 January 2008. In IFIP - The International Federation for Information Processing, 2008, v. 285, p. 275-289en_HK
dc.identifier.isbn978-0-387-84926-3-
dc.identifier.issn1868-4238-
dc.identifier.urihttp://hdl.handle.net/10722/93350-
dc.descriptionThis series entitled: Advances in Digital Forensics IV-
dc.description.abstractThere is an escalating perception in some quarters that the conclusions drawn from digital evidence are the subjective views of individuals and have limited scientific justification. This paper attempts to address this problem by presenting a formal model for reasoning about digital evidence. A Bayesian network is used to quantify the evidential strengths of hypotheses and, thus, enhance the reliability and traceability of the results produced by digital forensic investigations. The validity of the model is tested using a real court case. The test uses objective probability assignments obtained by aggregating the responses of experienced law enforcement agents and analysts. The results confirmed the guilty verdict in the court case with a probability value of 92.7%.-
dc.languageengen_HK
dc.publisherSpringer.en_HK
dc.relation.ispartofIFIP - The International Federation for Information Processingen_HK
dc.subjectDigital evidence-
dc.subjectHypotheses-
dc.subjectProbability-
dc.subjectBayesian networks-
dc.titleReasoning about evidence using Bayesian networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChow, KP: chow@cs.hku.hken_HK
dc.identifier.authorityChow, KP=rp00111en_HK
dc.identifier.doi10.1007/978-0-387-84927-0_22-
dc.identifier.scopuseid_2-s2.0-51149102478-
dc.identifier.hkuros152365en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-51149102478&selection=ref&src=s&origin=recordpage-
dc.identifier.volume285en_HK
dc.identifier.spage15en_HK
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151028 - merged-

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