In recent years, we have witnessed a significant rise in both the popularity and capability of Connected and Autonomous Vehicles (CAVs). This progress has been facilitated, in part, by advancements in CAV simulators that enable researchers to efficiently, safely, and cost-effectively test their vehicles. However, many current simulators do not directly address one of the most pressing challenges that CAVs encounter: cybersecurity. In this paper, we present a step towards resolving this issue. We have developed a simulator with the ability to simulate various Vehicle-to-Everything (V2X) attacks in real time. Our approach involves co-simulation of three simulators: CARLA, SUMO, and Artery. Utilizing the V2X communication capabilities of these simulators, our attacks involve injecting malicious Cooperative Awareness Messages (CAMs) and Decentralized Environmental Notification Messages (DENMs) into the simulation.
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Cybersecurity Simulator for Connected and Autonomous Vehicles
Semantic Scholar · Computer Science · 2023
Abstract
In recent years, we have witnessed a significant rise in both the popularity and capability of Connected and Autonomous Vehicles (CAVs). This progress has been facilitated, in part, by advancements in CAV simulators that enable researchers to efficiently, safely, and cost-effectively test their vehicles. However, many current simulators do not directly address one of the most pressing challenges that CAVs encounter: cybersecurity. In this paper, we present a step towards resolving this issue. We have developed a simulator with the ability to simulate various Vehicle-to-Everything (V2X) attacks in real time. Our approach involves co-simulation of three simulators: CARLA, SUMO, and Artery. Utilizing the V2X communication capabilities of these simulators, our attacks involve injecting malicious Cooperative Awareness Messages (CAMs) and Decentralized Environmental Notification Messages (DENMs) into the simulation.