Research On Access Control And Authentication Protocol For Connected And Autonomous Vehicles

In order to support the upper level autonomous driving functions and provide auxiliary driving functions,a connected and autonomous vehicle is usually equipped with a large number of sensors to obtain road conditions and a number of applications to keep it running properly.However,traditional in-vehicel networks lack fine-grained authentication units and various encryption units.Many applications can have excessive access to sensitive data,compromising the vehicle’s privacy.In addition,the on-board sensors are easily affected by weather and road environment,which affects the accuracy of the perception data.To solve this problem,some scholars proposed to combine the VANET with the autonomous driving technology to improve the performance of automatic obstacle avoidance.However,ensuring the security and reliability of information has become a new challenge.Unfortunately,there are few studies on privacy protection of data communication of autonomous vehicles at present,and most of the existing schemes only analyze and propose the idea of privacy encryption,but do not provide specific solutions.In view of the above problems,this thesis mainly studies the access control and authentication protocol for privacy protection of connected and autonomous vehicles,aiming to guarantee the privacy of vehicle data.The main contributions are as follows:1)In this thesis,a fine-grained access control scheme for internal data in connected and autonomous vehicles is proposed for the first time.The user can personalize access policies of the applications to the data in the vehicle,and only the application that meets the access policy can decrypt and obtain the corresponding data.Based on the hybrid encryption algorithm,the scheme makes up for the security defect of the traditional in-vehicle network lacking encryption unit,and proposes a key update strategy based on the Chinese residual theorem.Finally,the experiments prove that the proposed attribute-based encryption scheme has lower overhead,and the access control scheme implemented meets the requirements of low delay and fine granularity.2)A safety-verifiable collaborative sensing communication scheme for connected and autonomous vehicles is proposed.Autonomous vehicles can share information about road conditions,then improve the accuracy of sensing data and ensure the safety of vehicles.Moreover,the scheme realizes the global privacy protection that not only realizes ECU authentication in the vehicle but also realizes message security authentication in the vehicular network.At the same time,in-vehicle authentication adopts hash algorithm,and collaborative communication supports batch authentication of messages based on elliptic curve cryptography.Finally,the simulation results show that the proposed signature algorithm has lower computation and communication overhead compared with the existing schemes.