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dc.contributor.authorAl Mutawa, Noora
dc.contributor.authorBryce, Joanne
dc.contributor.authorFranqueira, Virginia N.L.
dc.contributor.authorMarrington, Andrew
dc.contributor.authorRead, Janet C.
dc.date.accessioned2019-02-08T14:06:14Z
dc.date.available2019-02-08T14:06:14Z
dc.date.issued2018-12-15
dc.identifier.citationAl Mutawa, N., Bryce, J., Franqueira, V.N., Marrington, A. and Read, J.C., (2018). 'Behavioural Digital Forensics Model: Embedding Behavioural Evidence Analysis into the investigation of digital crimes'. Digital Investigation. 28, pp. 70-82. DOI: 10.1016/j.diin.2018.12.003en_US
dc.identifier.issn17422876
dc.identifier.doi10.1016/j.diin.2018.12.003
dc.identifier.urihttp://hdl.handle.net/10545/623487
dc.description.abstractThe state-of-the-art and practice show an increased recognition, but limited adoption, of Behavioural Evidence Analysis (BEA) within the Digital Forensics (DF) investigation process. Yet, there is currently no BEA-driven process model and guidelines for DF investigators to follow in order to take advantage of such an approach. This paper proposes the Behavioural Digital Forensics Model to fill this gap. It takes a multidisciplinary approach which incorporates BEA into in-lab investigation of seized devices related to interpersonal cases (i.e., digital crimes involving human interactions between offender(s) and victim(s)). The model was designed based on the application of traditional BEA phases to 35 real cases, and evaluated using 5 real digital crime cases - all from Dubai Police archive. This paper, however, provides details of only one case from this evaluation pool. Compared to the outcome of these cases using a traditional DF investigation process, the new model showed a number of benefits. It allowed a more effective focusing of the investigation, and provided logical directions for identifying the location of further relevant evidence. It also enabled a better understanding and interpretation of victim/offender behaviours (e.g., probable offenders' motivations and modus operandi), which facilitated a more in depth understanding of the dynamics of the specific crime. Finally, in some cases, it enabled the identification of suspect's collaborators, something which was not identified via the traditional investigative process.en_US
dc.description.sponsorshipDubai Police, UAE (sponsored the first author).en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S1742287618301981en_US
dc.relation.urlhttps://doi.org/10.1016/j.diin.2018.12.003en_US
dc.relation.urlhttps://authors.elsevier.com/c/1YRLT6C9dobU0Ten_US
dc.rightsArchived with thanks to Digital Investigationen
dc.subjectBehavioural evidence Analysisen_US
dc.subjectReconstruction of digital crimeen_US
dc.subjectDigital forensics investigationen_US
dc.subjectBehavioural digital forensics modelen_US
dc.subjectDigital evidence interpretationen_US
dc.titleBehavioural Digital Forensics Model: Embedding Behavioural Evidence Analysis into the Investigation of Digital Crimesen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalDigital Investigationen_US
dc.dateAccepted2018-12-12
dcterms.dateAccepted2018-12-15


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