Robust Block Chain Based Authentication in Intelligent Transport System

Abstract

Improving road safety, road comfort, security and traffic flow, intelligent transportation systems are designed. ITS cannot protect private information, but requires that dangerous vehicles can only be revoked if their pseudonyms are validated, and information is kept secure. In order to provide for privacy protection, vehicle and roadside units (RSU’s) as well as servers, should be anonymous when they are identified. The role of the Internet of Vehicles (IoV) becomes indispensable to achieving the ITS goals in view of the advances in vehicle technology, high speed satellite communication, the Internet of Things and cyber physical systems. Internet of Things supports communication among autonomous and hence connected vehicles as well as their environment (infrastructure, sensors, computing nodes and people). Cryptography is used to meet security requirements and reduce traffic congestion and prevent accidents in a vehicular ad hoc network (VANET). RSU computation overheads increase as fast moving vehicles enter VANET coverage area, affecting communications quality and driving safety beyond the level of VANET protocols. To solve this problem, we develop a lightweight and privacy preserving Intelligent Vehicle to Infrastructure (V2I) authentication system. The system uses BGN homomorphic encryption and Moore curves to provide RSU route planning information prior to departure of vehicles without knowledge of the Certification Authority. This way, vehicles and RSU can be quickly authenticated. We demonstrate that our model improves with respect to both privacy preservation and computational efficiency over real world VANET scenarios.