EMBA: An Efficient Anonymous Mutual and Batch Authentication Schemes for Vanets

Nowadays, Vehicular ad-hoc networks (VANETs) have enormous research attention due to the challenges in safe driving and the demand for infotainment services during the travel. To ensure the proper operations of VANETs, it is important to provide an efficient user authentication scheme with privacy preserving. In this paper, we present a novel anonymous mutual and batch authentication schemes for improving VANET security. The proposed scheme makes use of some well-known cryptographic operations to authenticate vehicles. In our scheme, the vehicle users communicate with Road Side Units (RSUs) to get location based information (LBI) to enrich their driving comfort. The security strength of our proposed scheme is analyzed against the various security attacks to aid a better performance than the previously reported schemes. Extensive experimental simulations are demonstrated to validate the computational complexity of our proposed scheme.