A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles
Minh Pham, Kaiqi Xiong

TL;DR
This survey comprehensively reviews security attacks and defense techniques for connected and autonomous vehicles, highlighting the gap between academic research and industrial implementation, and identifying current challenges and trends in CAV security.
Contribution
It provides a detailed overview of attack models, countermeasures, and the disconnect between research findings and industry practices in CAV security.
Findings
No strong link between academic research and industry implementation
Many CAVs lack defenses against recent attack models
Identification of key research challenges and trends
Abstract
Autonomous Vehicle has been transforming intelligent transportation systems. As telecommunication technology improves, autonomous vehicles are getting connected to each other and to infrastructures, forming Connected and Autonomous Vehicles (CAVs). CAVs will help humans achieve safe, efficient, and autonomous transportation systems. However, CAVs will face significant security challenges because many of their components are vulnerable to attacks, and a successful attack on a CAV may have significant impacts on other CAVs and infrastructures due to their communications. In this paper, we conduct a survey on 184 papers from 2000 to 2020 to understand state-of-the-art CAV attacks and defense techniques. This survey first presents a comprehensive overview of security attacks and their corresponding countermeasures on CAVs. We then discuss the details of attack models based on the targeted…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Autonomous Vehicle Technology and Safety · Advanced Malware Detection Techniques
