Document Type
Conference Proceeding
Source of Publication
Digital Investigation
Publication Date
1-1-2016
Abstract
Behavioural Evidence Analysis (BEA) is, in theory, useful in developing an understanding 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.
DOI Link
ISSN
Publisher
Elsevier Ltd
Volume
16
First Page
S96
Last Page
S103
Disciplines
Computer Sciences
Keywords
Computer forensics, Image reconstruction, Cyberstalking, Digital evidence, Digital forensic, Digital investigation, Empirical research, Evidence analysis, Forensic analysis, Forensic investigation, Crime
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Al Mutawa, Noora; Bryce, Joanne; Franqueira, Virginia N.L.; and Marrington, Andrew, "Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis" (2016). All Works. 1711.
https://zuscholars.zu.ac.ae/works/1711
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Hybrid: This publication is openly available in a subscription-based journal/series