Security Enhancing Method in Vehicular Networks by Exploiting the Accurate Traffic Flow Prediction

In recent years, to improve the transportation system's efficiency, relying on the development of vehicular wireless communication technology and corresponding in-vehicle sensor technology, intelligent transportation systems have become the focus of attention in academia and industry. This is because, by improving the vehicle's ability to perceive the surrounding traffic environment through the exchange of information between vehicles, the vehicle's safety can be effectively improved, which reduces the occurrence of traffic accidents, in turn improving the efficiency of the transportation system. However, while data exchange brings convenience, similar to the other data communication applications, communication security issues inevitably enter the Internet-of-Vehicles environment since the vehicle is no longer an isolated individual. Accordingly, in this paper, we will propose a data transmission security improvement method based on accurate traffic flow prediction for addressing a specific data theft problem. Briefly, our method can detect the fraud vehicle that spread fake traffic information to increase the possibility that it may be selected as a relay node, thereby increasing its theft of the data of related users who use it as a relay node. Intensive simulation experiments are conducted to evaluate and prove the efficiency of our proposed work.