A trust management solution for 5G-based future generation Internet of Vehicles

Abstract

In recent years, 5G Internet-of-Vehicles (IoV) related standards have drawn attention in both academia and industry for supporting an efficient and reliable communication among vehicles in the network. However, notice that 5G-IoV related issues are defined as critical in both real and cyber space environments, as malfunctioning in such systems could cause traffic paralysis, serious accidents, and privacy leaks. Therefore, in order to overcome these challenges, a trusted and ideal framework is proposed using Dempster-Shafer Theory (DST), which is combined with a recommender mechanism in order to identify several DDoS threats. The major trust elements in order to identify the legitimacy of a node include frequency statistics, trust factor, residual energy, and trust policy. The proposed trusted mechanism is designed to provide an improved and efficient security solution by avoiding intruders which attempt to disrupt a 5G-IoV network. The proposed mechanism is further analyzed against several security measures, and validated using traditional security schemes in IoV environments.