MFZKAP: Multi Factor Zero Knowledge Proof Authentication for Secure Service in Vehicular Cloud Computing

Abstract

In vehicular cloud computing, a number of vehicle users act as nodes and communicate with each other to obtain location based services and data. Malicious users or service providers can collect the information of locations travelled and application accessed from vehicle users. Therefore, the authentication of vehicle users becomes challenge with preserving their actual identity and location privacy. In this paper we propose an efficient multi factor authentication scheme for vehicular cloud computing environment. This scheme uses zero knowledge based algorithm for user identity verification. It provides good privacy preservation, so that the adversaries are not able to succeed in tracing any vehicles. The simulation outcomes confirms that the proposed scheme achieves superior compared to existing schemes in terms of computational cost. Therefore, our scheme is appropriate for providing secure solution in vehicular cloud.