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Behavioural Evidence Analysis Applied to Digital Forensics: An Empirical Analysis of Child Pornography Cases Using P2P Networks

Al Mutawa, Noora, Bryce, Joanne, Franqueira, Virginia N. L., Marrington, Andrew (2015) Behavioural Evidence Analysis Applied to Digital Forensics: An Empirical Analysis of Child Pornography Cases Using P2P Networks. In: Proceedings: 10th International Conference on Availability, Reliability and Security (ARES 2015). . pp. 293-302. IEEE ISBN 978-1-4673-6590-1. (doi:10.1109/ares.2015.49) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1109/ares.2015.49

Abstract

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.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ares.2015.49
Uncontrolled keywords: Behavioural evidence analysis, reconstruction, sexually exploitative imagery of children, digital investigation
Divisions: Faculties > Sciences > School of Computing > Security Group
Depositing User: Virginia Nunes Leal Franqueira
Date Deposited: 10 Oct 2019 17:15 UTC
Last Modified: 11 Oct 2019 14:18 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77185 (The current URI for this page, for reference purposes)
Bryce, Joanne: https://orcid.org/0000-0001-9144-2899
Franqueira, Virginia N. L.: https://orcid.org/0000-0003-1332-9115
Marrington, Andrew: https://orcid.org/0000-0002-3839-6675
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