Ahmad, Jameel, Zia, Muhammad Umer, Naqvi, Ijaz Haider, Chattha, Jawwad Nasar, Butt, Faran Awais, Huang, Tao, and Xiang, Wei (2024) Machine learning and blockchain technologies for cybersecurity in connected vehicles. WIREs Data Mining and Knowledge Discovery, 14. e1515.

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Abstract

Future connected and autonomous vehicles (CAVs) must be secured againstcyberattacks for their everyday functions on the road so that safety of passengersand vehicles can be ensured. This article presents a holistic review of cybersecurityattacks on sensors and threats regardingmulti-modal sensor fusion. A compre-hensive review of cyberattacks on intra-vehicle and inter-vehicle communicationsis presented afterward. Besides the analysis of conventional cybersecurity threatsand countermeasures for CAV systems,a detailed review of modern machinelearning, federated learning, and blockchain approach is also conducted to safe-guard CAVs. Machine learning and data mining-aided intrusion detection systemsand other countermeasures dealing with these challenges are elaborated at theend of the related section. In the last section, research challenges and future direc-tions are identified.

Item ID:	80554
Item Type:	Article (Research - C1)
ISSN:	1942-4795
Keywords:	blockchain, connected and autonomous vehicles, cybersecurity, deep learning, federatedlearning, internet of vehicles
Copyright Information:	© 2023 The Authors. WIREs Data Mining and Knowledge Discovery published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Date Deposited:	25 Sep 2023 22:25
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4604 Cybersecurity and privacy > 460403 Data security and protection @ 50%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220405 Cybersecurity @ 100%
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