A Crime Scene Reconstruction for Digital Forensic Analysis
Document Type
Article
Source of Publication
International Journal of Digital Crime and Forensics
Publication Date
7-31-2023
Abstract
The abundance of digital data within modern vehicles makes digital vehicle forensics (DVF) a promising subfield of digital forensics (DF), with significant potential for investigations. In this research, the authors apply DVF methodology to a SUV, simulating a real case by extracting and analyzing the data in the period leading up to an incident to evaluate the effectiveness of DVF in solving crime. The authors employ DVF approach to extract data to reveal evidential information for judicial evaluation and verdict. This data helped determine whether the incident represented an accident or an act of crime. This simulated case and the assumptions supported by the DVF evidence provides a compelling example of how law enforcement agencies can leverage DVF to collect and present evidence to relevant authorities. This form of forensics can assist government in planning for and regulating the deployment of DVF data, the judiciary in assessing the nature and admissibility of evidence, and vehicle manufacturers in complying with the regulations relating to the harvesting and retrieval of data.
DOI Link
ISSN
Publisher
IGI Global
Volume
15
Issue
1
First Page
1
Last Page
20
Disciplines
Computer Sciences
Keywords
Crime Investigation, Digital Forensics, Digital Vehicle Forensics, Vehicle Control History
Recommended Citation
Nicho, Mathew; Alblooki, Maha; AlMutiwei, Saeed; McDermott, Christopher D.; and Ilesanmi, Olufemi, "A Crime Scene Reconstruction for Digital Forensic Analysis" (2023). All Works. 6023.
https://zuscholars.zu.ac.ae/works/6023
Indexed in Scopus
no
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series