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Article: Reasoning about evidence using Bayesian networks
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TitleReasoning about evidence using Bayesian networks
 
AuthorsKwan, M1
Chow, KP1
Law, F1
Lai, P1
 
KeywordsBayesian Networks
Digital Evidence
Hypotheses
Probability
 
Issue Date2008
 
CitationIfip International Federation For Information Processing, 2008, v. 285, p. 275-289 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-0-387-84927-0_22
 
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.
 
ISSN1571-5736
 
DOIhttp://dx.doi.org/10.1007/978-0-387-84927-0_22
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorKwan, M
 
dc.contributor.authorChow, KP
 
dc.contributor.authorLaw, F
 
dc.contributor.authorLai, P
 
dc.date.accessioned2012-06-26T06:38:06Z
 
dc.date.available2012-06-26T06:38:06Z
 
dc.date.issued2008
 
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.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationIfip International Federation For Information Processing, 2008, v. 285, p. 275-289 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-0-387-84927-0_22
 
dc.identifier.doihttp://dx.doi.org/10.1007/978-0-387-84927-0_22
 
dc.identifier.epage289
 
dc.identifier.issn1571-5736
 
dc.identifier.scopuseid_2-s2.0-51149102478
 
dc.identifier.spage275
 
dc.identifier.urihttp://hdl.handle.net/10722/152401
 
dc.identifier.volume285
 
dc.languageeng
 
dc.relation.ispartofIFIP International Federation for Information Processing
 
dc.relation.referencesReferences in Scopus
 
dc.subjectBayesian Networks
 
dc.subjectDigital Evidence
 
dc.subjectHypotheses
 
dc.subjectProbability
 
dc.titleReasoning about evidence using Bayesian networks
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong