Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
The advancements in autonomous driving technology, coupled with the growing interest from automotive manufacturers and tech companies, suggest a rising adoption of Connected Autonomous Vehicles (CAVs) in the near future. Despite some evidence of higher accident rates in AVs, these incidents tend to result in less severe injuries compared to traditional vehicles due to cooperative safety measures. However, the increased complexity of CAV systems exposes them to significant security vulnerabilities, potentially compromising their performance and communication integrity. This paper contributes by presenting a detailed analysis of existing security frameworks and protocols, focusing on intra- and inter-vehicle communications. We systematically evaluate the effectiveness of these frameworks in addressing known vulnerabilities and propose a set of best practices for enhancing CAV communication security. The paper also provides a comprehensive taxonomy of attack vectors in CAV ecosystems and suggests future research directions for designing more robust security mechanisms. Our key contributions include the development of a new classification system for CAV security threats, the proposal of practical security protocols, and the introduction of use cases that demonstrate how these protocols can be integrated into real-world CAV applications. These insights are crucial for advancing secure CAV adoption and ensuring the safe integration of autonomous vehicles into intelligent transportation systems.
Code (0)
등록된 구현이 없습니다.
Tasks
Autonomous DrivingAutonomous VehiclesMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal
Navigation is a very crucial aspect of autonomous vehicle ecosystem which heavily relies on collecting and processing large amounts of data in various states and taking a confident and safe decision to define the next ve…
Autonomous VehiclesSensor FusionGraph Laplacian Diffusion Localization of Connected and Automated Vehicles
In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles, based on Adapt-then-Combine strategies …
Autonomous DrivingRoute-VPlat: Survey and Analysis of Routing Protocols for Communication in Multi-hop Vehicular Platooning
Over the years, vehicular communication has become a significant and emerging research area. However, the vehicular platooning concept has gained importance only in the last couple of years or so. Typically, a platoon is…
ClusteringRoute-VPlat: Survey and Analysis of Routing Protocols for Communication in Multi-hop Vehicular Platooning
Over the years, vehicular communication has become a significant and emerging research area. However, the vehicular platooning concept has gained importance only in the last couple of years or so. Typically, a platoon is…
Clustering6G Cellular Networks and Connected Autonomous Vehicles
With 5G mobile communication systems been commercially rolled out, research discussions on next generation mobile systems, i.e., 6G, have started. On the other hand, vehicular technologies are also evolving rapidly, from…
Autonomous Vehicles