Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis

Hdl Handle:
http://hdl.handle.net/10545/608462
Title:
Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis
Authors:
Al Mutawa, Noora; Bryce, Joanne; Marrington, Andrew ( 0000-0002-3839-6675 ) ; Franqueira, Virginia N. L. ( 0000-0003-1332-9115 )
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.
Affiliation:
University of Central Lancashire; University of Derby; Zayed University
Citation:
Al Mutawa, Noora, Bryce, Joanne, Marrington, Andrew, Franqueira, Virginia (2016) Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis, Digital Investigation, 16:S96
Publisher:
Elsevier
Journal:
Digital Investigation
Issue Date:
29-Mar-2016
URI:
http://hdl.handle.net/10545/608462
DOI:
10.1016/j.diin.2016.01.012
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1742287616300068
Type:
Article
Language:
en
ISSN:
17422876
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorAl Mutawa, Nooraen
dc.contributor.authorBryce, Joanneen
dc.contributor.authorMarrington, Andrewen
dc.contributor.authorFranqueira, Virginia N. L.en
dc.date.accessioned2016-05-06T09:26:52Zen
dc.date.available2016-05-06T09:26:52Zen
dc.date.issued2016-03-29en
dc.identifier.citationAl Mutawa, Noora, Bryce, Joanne, Marrington, Andrew, Franqueira, Virginia (2016) Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis, Digital Investigation, 16:S96en
dc.identifier.issn17422876en
dc.identifier.doi10.1016/j.diin.2016.01.012en
dc.identifier.urihttp://hdl.handle.net/10545/608462en
dc.description.abstractBehavioural 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.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1742287616300068en
dc.rightsArchived with thanks to Digital Investigationen
dc.subjectEvidence Analysisen
dc.subjectDigital evidence interpretationen
dc.subjectReconstructionen
dc.subjectDigital investigationen
dc.subjectCyberstalkingen
dc.titleForensic investigation of cyberstalking cases using Behavioural Evidence Analysisen
dc.typeArticleen
dc.contributor.departmentUniversity of Central Lancashireen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentZayed Universityen
dc.identifier.journalDigital Investigationen
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