Diffie–Hellman process and its use in secure and authenticated VC networks

Abstract

The automotive companies nowadays are working on the development and deployment of the future intelligent transportation systems and connected-autonomous driving addressing any security and privacy concerns of users. In the field of connectivity, vehicular networks are constructed to manage communications among nearby vehicles and between vehicles and road-side infrastructure units and trusted agencies or certificate authorities. The above cooperative systems applications bring the promise of improved road safety and optimised road traffic. For the successful deployment of vehicular communications (VCs), it is essential to make sure that ‘life-critical safety’ information cannot be modified by external or internal within the network attackers. On this basis, lack of such security and privacy in vehicular networks is one of the key hindrances to the widespread implementations of connected-autonomous-driving applications. Moreover, specific operational parameters (highly moving vehicles, frequently and fast changed connectivity) make the problem very novel and challenging. For the present study, a protocol for data privacy and authenticated VC interactions, based on the Diffie–Hellman algorithm, is applied. The above analysis aims to improve the security and enhance the efficiency of VCs toward the deployment of Internet of vehicles technology in the transport area.