Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks
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AbstractThe utility of Behavioural Evidence Analysis (BEA) has gained attention in the field of Digital Forensics in recent years. It has been recognized that, along with technical examination of digital evidence, it is important to learn as much as possible about the individuals behind an offence, the victim (s) and the dynamics of a crime. This can assist the investigator in producing a more accurate and complete reconstruction of the crime, in interpreting associated digital evidence, and with the description of investigative findings. Despite these potential benefits, the literature shows limited use of BEA for the investigation of cases of the possession and dissemination of Sexually Exploitative Imagery of Children (SEIC). This paper represents a step towards filling this gap. It reports on the forensic analysis of 15 SEIC cases involving P2P file sharing networks, obtained from the Dubai Police. Results confirmed the predicted benefits and indicate that BEA can assist digital forensic practitioners and prosecutors.
CitationMutawa, N, Bryce, J, Franqueira, V, & Marrington, A 2015, 'Behavioural Evidence Analysis Applied to Digital Forensics: An Empirical Analysis of Child Pornography Cases Using P2P Networks', Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES), p. 293-302
PublisherIEEE Computer Society
JournalProceedings of the 10th International Conference on Availability, Reliability and Security (ARES)
TypeMeetings and Proceedings