Study on the privacy-preserving vehicular PKI in autonomous driving environments

Abstract

Vehicle-to-Everything (V2X) communication for autonomous driving is currently a focus of research and standardization in the USA, Europe and Asia. Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication has great potential to increase road and passenger safety, and has been considered a next important part of cooperative Intelligent Transportation Systems for the vision of accident-free driving. V2X communication have a lot of threats and vulnerabilities such as distribution of wrong or forged messages, tracking and profiling of vehicles or vehicle drivers, and disturbance or unavailability of communication system, etc. These risks have generated invasion of privacy and interference of autonomous driving. In particular, this paper analyzed the security services and public key infrastructure (PKI) defined in IEEE Wireless Access in Vehicular Environments (WAVE) 1609.2 and proposed the privacy preserving vehicular PKI that provides a trust and efficient V2X communication for autonomous driving environments.

Towards Misbehavior Intelligent Detection Using Guided Machine Learning in Vehicular Ad-hoc Networks (VANET)

“…To address this issue, a public key infrastructure (PKI) delivers certificates, as described by the IEEE 1609.2 protocol [17,18] to vehicles which used to sign and validate each message transmission to assure authenticity, integrity, and privacy. Nevertheless, despite the PKI's protection, the security risk still exists.…”