Roadmap for Cybersecurity in Autonomous Vehicles

TL;DR

This paper reviews cybersecurity threats in autonomous vehicles, analyzes past attacks, discusses AI-based solutions, and proposes a roadmap to enhance security while identifying key open challenges.

Contribution

It provides a comprehensive overview of automotive cyber-attacks, evaluates current AI-driven security solutions, and outlines a strategic roadmap for developing secure autonomous vehicles.

Findings

Automotive cyber-attacks have increased over the past decade.

AI-based solutions are effective in detecting and mitigating cyber threats.

Key open challenges include real-time security and system robustness.

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.