English

Roadmap for Cybersecurity in Autonomous Vehicles

Cryptography and Security 2022-01-26 v1 Artificial Intelligence Machine Learning

Abstract

Autonomous vehicles are on the horizon and will be transforming transportation safety and comfort. These vehicles will be connected to various external systems and utilize advanced embedded systems to perceive their environment and make intelligent decisions. However, this increased connectivity makes these vehicles vulnerable to various cyber-attacks that can have catastrophic effects. Attacks on automotive systems are already on the rise in today's vehicles and are expected to become more commonplace in future autonomous vehicles. Thus, there is a need to strengthen cybersecurity in future autonomous vehicles. In this article, we discuss major automotive cyber-attacks over the past decade and present state-of-the-art solutions that leverage artificial intelligence (AI). We propose a roadmap towards building secure autonomous vehicles and highlight key open challenges that need to be addressed.

Keywords

Cite

@article{arxiv.2201.10349,
  title  = {Roadmap for Cybersecurity in Autonomous Vehicles},
  author = {Vipin Kumar Kukkala and Sooryaa Vignesh Thiruloga and Sudeep Pasricha},
  journal= {arXiv preprint arXiv:2201.10349},
  year   = {2022}
}
R2 v1 2026-06-24T09:02:04.639Z