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Conference Paper: Quantification of digital forensic hypotheses using probability theory

TitleQuantification of digital forensic hypotheses using probability theory
Authors
KeywordsProbability theory
Digital forensics
Quantification of plausibility
Digital forensic hypotheses
Possession of child pornography
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001100
Citation
The 8th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE 2013), Hong Kong, 21-22 November 2013. In Conference Proceedings, 2013, p. 1-5 How to Cite?
AbstractThe issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.
Persistent Identifierhttp://hdl.handle.net/10722/203655
ISBN

 

DC FieldValueLanguage
dc.contributor.authorOverill, REen_US
dc.contributor.authorSilomon, JAMen_US
dc.contributor.authorChow, KPen_US
dc.contributor.authorTse, HKSen_US
dc.date.accessioned2014-09-19T15:49:10Z-
dc.date.available2014-09-19T15:49:10Z-
dc.date.issued2013-
dc.identifier.citationThe 8th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE 2013), Hong Kong, 21-22 November 2013. In Conference Proceedings, 2013, p. 1-5en_US
dc.identifier.isbn978-1-4799-4061-5-
dc.identifier.urihttp://hdl.handle.net/10722/203655-
dc.description.abstractThe issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001100-
dc.relation.ispartofInternational Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE)en_US
dc.rightsInternational Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE). Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectProbability theory-
dc.subjectDigital forensics-
dc.subjectQuantification of plausibility-
dc.subjectDigital forensic hypotheses-
dc.subjectPossession of child pornography-
dc.titleQuantification of digital forensic hypotheses using probability theoryen_US
dc.typeConference_Paperen_US
dc.identifier.emailChow, KP: chow@cs.hku.hken_US
dc.identifier.authorityChow, KP=rp00111en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/SADFE.2013.6911547-
dc.identifier.scopuseid_2-s2.0-84910050971-
dc.identifier.hkuros240115en_US
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited Statesen_US
dc.customcontrol.immutablesml 141118-

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