Enhancing road safety through misbehaviour detection in vehicle-to-everything systems of Korea

초록

Vehicle-to-everything communication systems play a crucial role in enhancing road safety and traffic efficiency through vehicle and roadside infrastructure interactions. To provide robust defences against external threats in secure and trustworthy information exchange, these systems utilise public key infrastructure to authenticate vehicle-to-everything participant identities with digital certificates and security credential management systems to administer these certificates and encryption keys. However, even with these defences, vulnerabilities persist, particularly from vehicles with legitimate certificates that may malfunction or be exploited for malicious purposes. To address these issues, this paper introduces a misbehaviour detection (MBD) system, notable for its combined use of local and global MBD algorithms. This system is specifically designed to combat both conventional and novel threats, including slander attacks, in which vehicles with legitimate certificates may be falsely accused, and sophisticated attacks targeting the global MBD system itself. The efficacy of our MBD system was rigorously validated at K-City, the leading autonomous vehicle technology testing facility in Korea, demonstrating its ability to identify and counter internal misbehaviours precisely. This study presents an misbehaviour detection system aimed at bolstering vehicle-to-everything communication safety, specifically devised to tackle both traditional and new threats, such as slander attacks and advanced attacks on the GMBD system. Validated at K-City, it demonstrates potential in pinpointing and mitigating misbehaviours, indicating future research avenues for enhancing the safety and efficiency of vehicle-to-everything systems. image

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