Security Provision for Vehicular Fog Computing

Vehicular networks are expected to significantly improve the efficiency and safety of transportation system. The number of connected vehicles is estimated to exceed 200 millions by 2020. With the rapid developed technologies such as the fifth generation cellular networks, various real-time network applications will be applied in vehicular networks. Considering the limited capability of devices installed on vehicles, cloud computing can be used to provide sufficient storage and computational power. However, the numerous vehicles with massive applications will generate tremendous volume of data and exhaust finite bandwidth. It is difficult for the conventional cloud computing paradigm to satisfy stringent quality of service requirements of vehicular networks, especially for delay-sensitive applications. Then vehicular fog computing, in which servers are allocated close to vehicles, has been proposed to reduce the latency. Vehicular fog computing is still in its early stage. How to provide reliable and secure fog service to client vehicles has not been well addressed. In this paper, we propose a scalable and efficient security provision scheme based on Chinese Remainder Theory. Simulation results demonstrate that the proposed scheme significantly reduces the authentication delay.