• DocumentCode
    3672867
  • Title

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

  • Author

    Noora Al Mutawa;Joanne Bryce;Virginia N.L. Franqueira;Andrew Marrington

  • Author_Institution
    Sch. of Psychol., Univ. of Central Lancashire, Preston, UK
  • fYear
    2015
  • Firstpage
    293
  • Lastpage
    302
  • 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.
  • Keywords
    "Reliability","Security"
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security (ARES), 2015 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/ARES.2015.49
  • Filename
    7299929