Cybersecurity in Autonomous Vehicles: A Comprehensive Review Study of Cyber-Attacks and AI-Based Solutions

Cybersecurity in Autonomous Vehicles: A Comprehensive Review Study of Cyber-Attacks and AI-Based Solutions
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-1
Year of Publication : 2024
Author : Guirrou Hamza, Youssef Taher, Mohamed Zeriab Es-sadek, Amal Tmiri
DOI : 10.14445/22315381/IJETT-V72I1P111

How to Cite?

Guirrou Hamza, Youssef Taher, Mohamed Zeriab Es-sadek, Amal Tmiri, "Cybersecurity in Autonomous Vehicles: A Comprehensive Review Study of Cyber-Attacks and AI-Based Solutions," International Journal of Engineering Trends and Technology, vol. 72, no. 1, pp. 101-116, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I1P111

Abstract
Cyber-attacks on autonomous vehicles (AVs) are becoming increasingly sophisticated and pose serious risks, including loss of control of the vehicle or compromise of personal data. Preventing intrusion into AV systems requires protecting against various cyberattacks by adopting appropriate countermeasures. One of these advanced countermeasures is using artificial intelligence (AI) technologies as an efficient and effective solution for AV security. Thanks to the increasing prevalence of AI, AV systems can detect, prevent, and mitigate attacks more efficiently than traditional software-driven approaches. In this context, the goal of this paper is to present a summary of recent developments in AI-based cybersecurity for AVs in order to identify knowledge gaps and provide recommendations for future studies. We discuss the relevant standards and regulations related to cybersecurity in AVs. We examine the high-risk AV components that are vulnerable to cybersecurity attacks. Furthermore, we review the most critical cyber-attacks that may affect these critical systems and their possible AI-based cybersecurity solutions.

Keywords
Cybersecurity, Artificial Intelligence, Autonomous vehicles.

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