CRAILGJan 19, 2022

Roadmap for Cybersecurity in Autonomous Vehicles

arXiv:2201.10349v140 citations
Originality Synthesis-oriented
AI Analysis

This work tackles cybersecurity for autonomous vehicles, which is critical for safety but is incremental as it builds on existing AI methods without introducing new paradigms.

The paper addresses the vulnerability of autonomous vehicles to cyber-attacks due to increased connectivity, proposing a roadmap for cybersecurity and highlighting open challenges, with a focus on leveraging AI-based solutions.

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.

Foundations

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