Securing connected and autonomous vehicles: analysing attack methods, mitigation strategies, and the role of large language models
Mahender Kumar, Ruby Rani, Gregory Epiphaniou, Carsten R. Maple · IET conference proceedings. · 2024
Connected and Autonomous Vehicles (CAVs) are revolutionising transportation, promising increased safety, efficiency, and convenience. However, their reliance on digital connectivity introduces new cybersecurity vulnerabilities. This paper comprehensively analyses various attack methods targeting CAVs. We discuss the potential consequences of these attacks and propose mitigation strategies to enhance CAV security. Furthermore, the paper explores the potential of Large Language Models (LLMs) as a novel approach to fortifying CAV cybersecurity. Finally, we examine future challenges and opportunities within this rapidly developing field.