University of Hertfordshire

By the same authors

A digital forensics profiling methodology for the cyberstalker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

View graph of relations
Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages445-450
Number of pages6
ISBN (Print)9781479963867
DOIs
Publication statusPublished - 9 Mar 2015
Event6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 - Salerno, Italy
Duration: 10 Sep 201412 Sep 2014

Conference

Conference6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
CountryItaly
CitySalerno
Period10/09/1412/09/14

Abstract

Cyberstalking has many new manifestations with the opportunities offered by modern technology. It is a growing issue that presents significant distress to its victims. This type of crime presents difficulty to computer forensic investigators in large amounts of digital evidence accumulated over time and in offender apprehension. There is currently little research in the profiling the cyberstalker through a digital investigation. However, techniques employed for dead-end offline investigations, including criminal profiling are also be applied to cybercrime. This research focuses on developing a profiling methodology for profiling the cyberstalker. We adopted the Behavioural Evidence Analysis methodology to the digital investigation process and attempted to construct our profiling methodology. The methodology was evaluated by using a simulation of stalking behaviours to produce a technical, as well as a criminal profile. The aim of this work is to provide a starting point on the profiling of the cyberstalker. The investigators could then proceed with informed assumptions about the offender, according to his digital traces and also achieve reduced time for the digital investigation.

ID: 9587860