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Article: Reasoning about evidence using Bayesian networks

TitleReasoning about evidence using Bayesian networks
Authors
KeywordsBayesian Networks
Digital Evidence
Hypotheses
Probability
Issue Date2008
Citation
Ifip International Federation For Information Processing, 2008, v. 285, p. 275-289 How to Cite?
Abstract
There 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%. © 2008 International Federation for Information Processing.
Persistent Identifierhttp://hdl.handle.net/10722/152401
ISSN
References

 

Author Affiliations
  1. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorKwan, Men_US
dc.contributor.authorChow, KPen_US
dc.contributor.authorLaw, Fen_US
dc.contributor.authorLai, Pen_US
dc.date.accessioned2012-06-26T06:38:06Z-
dc.date.available2012-06-26T06:38:06Z-
dc.date.issued2008en_US
dc.identifier.citationIfip International Federation For Information Processing, 2008, v. 285, p. 275-289en_US
dc.identifier.issn1571-5736en_US
dc.identifier.urihttp://hdl.handle.net/10722/152401-
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%. © 2008 International Federation for Information Processing.en_US
dc.languageengen_US
dc.relation.ispartofIFIP International Federation for Information Processingen_US
dc.subjectBayesian Networksen_US
dc.subjectDigital Evidenceen_US
dc.subjectHypothesesen_US
dc.subjectProbabilityen_US
dc.titleReasoning about evidence using Bayesian networksen_US
dc.typeArticleen_US
dc.identifier.emailChow, KP:chow@cs.hku.hken_US
dc.identifier.authorityChow, KP=rp00111en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-0-387-84927-0_22en_US
dc.identifier.scopuseid_2-s2.0-51149102478en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-51149102478&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume285en_US
dc.identifier.spage275en_US
dc.identifier.epage289en_US
dc.identifier.scopusauthoridKwan, M=19640239200en_US
dc.identifier.scopusauthoridChow, KP=7202180751en_US
dc.identifier.scopusauthoridLaw, F=19640490000en_US
dc.identifier.scopusauthoridLai, P=19640260600en_US

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