Cyber security analysis of connected vehicles

Mwanje, M.D. ORCID: 0000-0001-7996-9831, Kaiwartya, O. ORCID: 0000-0001-9669-8244, Aljaidi, M., Cao, Y., Kumar, S., Jha, D.N., Naser, A. ORCID: 0000-0001-5969-1756 and Lloret, J., 2024. Cyber security analysis of connected vehicles. IET Intelligent Transport Systems. ISSN 1751-956X

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Abstract

The sensor-enabled in-vehicle communication and infrastructure-centric vehicle-to-everything (V2X) communications have significantly contributed to the spark in the amount of data exchange in the connected and autonomous vehicles (CAV) environment. The growing vehicular communications pose a potential cyber security risk considering online vehicle hijacking. Therefore, there is a critical need to prioritize the cyber security issues in the CAV research theme. In this context, this paper presents a cyber security analysis of connected vehicle traffic environments (CyACV). Specifically, potential cyber security attacks in CAV are critically investigated and validated via experimental data sets. Trust in V2X communication for connected vehicles is explored in detail focusing on trust computation and trust management approaches and related challenges. A wide range of trust-based cyber security solutions for CAV have been critically investigated considering their strengths and weaknesses. Open research directions have been highlighted as potential new research themes in CAV cyber security area.

Item Type: Journal article
Publication Title: IET Intelligent Transport Systems
Creators: Mwanje, M.D., Kaiwartya, O., Aljaidi, M., Cao, Y., Kumar, S., Jha, D.N., Naser, A. and Lloret, J.
Publisher: Institution of Engineering and Technology
Date: 12 April 2024
ISSN: 1751-956X
Identifiers:
NumberType
10.1049/itr2.12504DOI
1887552Other
Rights: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 24 Apr 2024 15:45
Last Modified: 24 Apr 2024 15:45
URI: https://irep.ntu.ac.uk/id/eprint/51328

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