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

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

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

Citation

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: https://doi.org/10.4018/IJDCF.327358

• 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
• DOI: https://doi.org/10.4018/IJDCF.327358
• Keywords: Crime investigation; Digital forensics; Digital Vehicle forensics; Vehicle control history
• Public URL: https://rgu-repository.worktribe.com/output/2079429