Provably Secure Authentication Scheme for Fog Computing-Enabled Intelligent Social Internet of Vehicles

Abstract

Owing to the growth of the intelligent Internet of Vehicles (IoV), the notion of the Social Internet of Vehicles (SIoV) has emerged. SIoV is based on the intelligent IoV combined with social needs, and it uses existing vehicle self-organizing network technologies to enable in-vehicle social networking platforms. The rapid development of the Internet of Things (IoT) has led to an explosion in the number of in-vehicle electronic devices, external facilities, vehicles, and a massive amount of real-time data generated by these vehicles, devices, drivers, passengers, and other social relationships. This explosion has put tremendous load pressure on servers; hence, researchers have started to apply fog computing to SIoV to spread server overload. However, there are still a number of risks and challenges associated with SIoV. Therefore, we propose an authentication scheme for fog computing-enabled SIoV that guarantees user anonymity and security. Detailed security analysis proves that the proposed scheme can secure against known attacks. Finally, we evaluate the performance of our scheme, and the results show that it has excellent security, computation, and communication performances.