A Data Transmission Behavior Simulation Platform for Security Supervision of Intelligent Connected Vehicles

For purposes such as safety and infotainment, intelligent connected vehicles (ICVs) require substantial data collection and transmission, which raises significant security concerns and regulatory efforts. Current development of supervision methods are hampered by the difficulty of accessing real traffic data and the lack of ground truth for abnormal data. Aimed at supplying abnormal test samples for the validation of supervision methods, this paper presents a platform that achieves the simulation of abnormal data transmission behaviors of ICVs. Our platform leverages autonomous driving simulator to create richly detailed urban traffic scenarios and integrate various common sensors. It supports prevalent vehicular communication standards such as SAE J2735 and GB/T 32960, ensuring that the generated traffic closely mirrors real-world conditions. By utilizing flexible scripts, our platform allows users to define and simulate specific abnormal transmission behaviors. Through case studies, we demonstrate its capability to simulate various abnormal transmission behaviors and provide valuable test data for the development of traffic analysis algorithms for ICV data security supervision.