Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks
Document Type
Conference Proceeding
Source of Publication
Proceedings - 10th International Conference on Availability, Reliability and Security, ARES 2015
Publication Date
10-16-2015
Abstract
© 2015 IEEE. The 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.
DOI Link
ISBN
9781467365901
Publisher
Institute of Electrical and Electronics Engineers Inc.
First Page
293
Last Page
302
Disciplines
Computer Sciences
Keywords
Behavioural evidence analysis, Digital investigation, Reconstruction, Sexually exploitative imagery of children
Scopus ID
Recommended Citation
Al Mutawa, Noora; Bryce, Joanne; Franqueira, Virginia N.L.; and Marrington, Andrew, "Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks" (2015). All Works. 659.
https://zuscholars.zu.ac.ae/works/659
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository