Security by Design Issues in Autonomous Vehicles
Martin Higgins, Devki Jha, David Blundell, David Wallom

TL;DR
This paper examines the layered security vulnerabilities of autonomous vehicles, highlighting challenges and exploring emerging solutions across physical, cyber, coding, and communication domains to enhance resilience.
Contribution
It provides a comprehensive analysis of security issues in AVs and discusses potential solutions for various attack vectors, addressing overlooked vulnerabilities.
Findings
Identification of multiple security layers in AVs
Analysis of emerging threats and vulnerabilities
Proposed solutions for attack mitigation
Abstract
As autonomous vehicle (AV) technology advances towards maturity, it becomes imperative to examine the security vulnerabilities within these cyber-physical systems. While conventional cyber-security concerns are often at the forefront of discussions, it is essential to get deeper into the various layers of vulnerability that are often overlooked within mainstream frameworks. Our goal is to spotlight imminent challenges faced by AV operators and explore emerging technologies for comprehensive solutions. This research outlines the diverse security layers, spanning physical, cyber, coding, and communication aspects, in the context of AVs. Furthermore, we provide insights into potential solutions for each potential attack vector, ensuring that autonomous vehicles remain secure and resilient in an evolving threat landscape.
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Taxonomy
TopicsEthics and Social Impacts of AI
