Article: Reasoning about evidence using Bayesian networks
| Title | Reasoning about evidence using Bayesian networks |
|---|---|
| Authors | Kwan, M1 Chow, KP1 Law, F1 Lai, P1 |
| Keywords | Bayesian Networks Digital Evidence Hypotheses Probability |
| Issue Date | 2008 |
| Citation | Ifip 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 |
| 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. |
| ISSN | 1571-5736 2011 SCImago Journal Rankings: 0.027 |
| DOI | http://dx.doi.org/10.1007/978-0-387-84927-0_22 |
| References | References in Scopus |
| dc.contributor.author | Kwan, M |
|---|---|
| dc.contributor.author | Chow, KP |
| dc.contributor.author | Law, F |
| dc.contributor.author | Lai, P |
| dc.date.accessioned | 2012-06-26T06:38:06Z |
| dc.date.available | 2012-06-26T06:38:06Z |
| dc.date.issued | 2008 |
| dc.description.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. |
| dc.description.nature | Link_to_subscribed_fulltext |
| dc.identifier.citation | Ifip 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.doi | http://dx.doi.org/10.1007/978-0-387-84927-0_22 |
| dc.identifier.epage | 289 |
| dc.identifier.issn | 1571-5736 2011 SCImago Journal Rankings: 0.027 |
| dc.identifier.scopus | eid_2-s2.0-51149102478 |
| dc.identifier.spage | 275 |
| dc.identifier.uri | http://hdl.handle.net/10722/152401 |
| dc.identifier.volume | 285 |
| dc.language | eng |
| dc.relation.ispartof | IFIP International Federation for Information Processing |
| dc.relation.references | References in Scopus |
| dc.subject | Bayesian Networks |
| dc.subject | Digital Evidence |
| dc.subject | Hypotheses |
| dc.subject | Probability |
| dc.title | Reasoning about evidence using Bayesian networks |
| dc.type | Article |
Author Affiliations
- The University of Hong Kong