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    Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks

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    Authors
    Mutawa, Noora Al
    Bryce, Joanne
    Franqueira, Virginia N. L. cc
    Marrington, Andrew cc
    Affiliation
    Univesrity of Central Lancashire
    University of Derby
    Zayed University
    Issue Date
    2015-08
    
    Metadata
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    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.
    Citation
    Mutawa, 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
    Publisher
    IEEE Computer Society
    Journal
    Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES)
    URI
    http://hdl.handle.net/10545/583877
    DOI
    10.1109/ARES.2015.49
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7299929
    Type
    Meetings and Proceedings
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1109/ARES.2015.49
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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