Mutawa, Noora Al, Bryce, Joanne, Franqueira, Virginia N.L., Marrington, Andrew (2016) Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis. Digital Investigation, 16 . S96-S103. ISSN 1742-2876. (doi:10.1016/j.diin.2016.01.012) (KAR id:77181)
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Official URL: https://dx.doi.org/10.1016/j.diin.2016.01.012 |
Abstract
nderstanding of the offender, the victim, the crime scene, and the dynamics of the crime. It can add meaning to the evidence obtained through digital forensic techniques and assist investigators with reconstruction of a crime. There is, however, little empirical research examining the application of BEA to actual criminal cases, particularly cyberstalking cases. This study addresses this gap by examining the utility of BEA for such cases in terms of understanding the behavioural and motivational dimensions of offending, and the way in which digital evidence can be interpreted. It reports on the forensic analysis of 20 cyberstalking cases investigated by Dubai Police in the last five years. Results showed that BEA helps to focus an investigation, enables better understanding and interpretation of victim and offender behaviour, and assists in inferring traits of the offender from available digital evidence. These benefits can help investigators to build a stronger case, reduce time wasted to mistakes, and to exclude suspects wrongly accused in cyberstalking cases.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.diin.2016.01.012 |
Additional information: | Open access article. |
Uncontrolled keywords: | Behavioural Evidence Analysis, Digital evidence interpretation, Reconstruction, Digital investigation, Cyberstalking. |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Virginia Franqueira |
Date Deposited: | 15 Oct 2019 18:32 UTC |
Last Modified: | 08 Dec 2022 22:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/77181 (The current URI for this page, for reference purposes) |
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