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A crime scene reconstruction for digital forensic analysis: an SUV case study.

Nicho, Mathew; Alblooki, Maha; AlMutiwei, Saeed; McDermott, Christopher D.; Ilesanmi, Olufemi


Mathew Nicho

Maha Alblooki

Saeed AlMutiwei


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 omplying with the regulations relating to the harvesting and retrieval of data.


NICHO, M., ALBLOOKI, M., ALMUTIWEI, S., MCDERMOTT, C.D. and ILESANMI, O. 2023. A crime scene reconstruction for digital forensic analysis: an SUV case study. International journal of digital crime and forensics [online], 15(1), 327358. Available from:

Journal Article Type Article
Acceptance Date Jan 1, 2023
Online Publication Date Jan 1, 2023
Publication Date Jun 30, 2023
Deposit Date Sep 15, 2023
Publicly Available Date Sep 15, 2023
Journal International journal of digital crime and forensics
Print ISSN 1941-6210
Electronic ISSN 1941-6229
Publisher IGI Global
Peer Reviewed Peer Reviewed
Volume 15
Issue 1
Article Number 327358
Keywords Crime investigation; Digital forensics; Digital Vehicle forensics; Vehicle control history
Public URL


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