DocumentCode :
3429997
Title :
Quantification of digital forensic hypotheses using probability theory
Author :
Overill, Richard E. ; Silomon, Jantje A. M. ; Kam-Pui Chow ; Tse, Hayson
Author_Institution :
Dept. of Inf., King´s Coll. London, London, UK
fYear :
2013
fDate :
21-22 Nov. 2013
Firstpage :
1
Lastpage :
5
Abstract :
The 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.
Keywords :
Web sites; digital forensics; probability; Web site; child pornography; digital forensic hypotheses; illegal material downloading; probability theory; Analytical models; Forensics; Probability theory; digital forensic hypotheses; digital forensics; possession of child pornography; quantification of plausibility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systematic Approaches to Digital Forensic Engineering (SADFE), 2013 Eighth International Workshop on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/SADFE.2013.6911547
Filename :
6911547
Link To Document :
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