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

Hdl Handle:
http://hdl.handle.net/10545/583877
Title:
Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks
Authors:
Mutawa, Noora Al; Bryce, Joanne; Franqueira, Virginia N. L. ( 0000-0003-1332-9115 ) ; Marrington, Andrew ( 0000-0002-3839-6675 )
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.
Affiliation:
Univesrity of Central Lancashire; University of Derby; Zayed University
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)
Issue Date:
Aug-2015
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
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorMutawa, Noora Alen
dc.contributor.authorBryce, Joanneen
dc.contributor.authorFranqueira, Virginia N. L.en
dc.contributor.authorMarrington, Andrewen
dc.date.accessioned2015-12-14T10:45:50Zen
dc.date.available2015-12-14T10:45:50Zen
dc.date.issued2015-08en
dc.identifier.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. 293-302en
dc.identifier.doi10.1109/ARES.2015.49en
dc.identifier.urihttp://hdl.handle.net/10545/583877en
dc.description.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.en
dc.language.isoenen
dc.publisherIEEE Computer Societyen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7299929en
dc.subjectBehavioural evidence Analysisen
dc.subjectDigital investigationen
dc.subjectReconstructionen
dc.subjectSexually exploitative imagery of childrenen
dc.titleBehavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networksen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUnivesrity of Central Lancashireen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentZayed Universityen
dc.identifier.journalProceedings of the 10th International Conference on Availability, Reliability and Security (ARES)en
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