## 1 Introduction  
Establishing an intelligent transportation system using the Internet is a wise choice. This kind of intelligent system is used in the field of transportation: using the real-timeinteractions between cars, trains and boat vehicles to coordinate data on their trajectory and running state can to help alleviate the frequent road safety accidents, improve the robustness of network security, etc. As a more advanced system in the field of transportation, the intelligent transportation system has good prospects for the future development of intelligent transportation. The intelligent transportation system could combine computer science, sensors, the Internet of Things and AI technology and be applied to the delivery of goods, service management and vehicle production. This would further strengthen the relationship between vehicles, roads and users, accelerate improvements in driving safety, reduce road jams and reduce the energy losses caused by the construction of a new transportation management system. The connection of the vehicle, the driver and the road is the core role of the intelligent transportation system. At the same time, the intelligent transportation system can also provide the corresponding service management agency. According to the analysis of relevant research conclusions, the use of intelligent transportation system can provide more intelligent road information for locomotives, and can also promote the vehicles can easily obtain the state information in front of any road, and make more effective use of road infrastructure and other resources. A large number of scholars in the field have shown that, with the use of intelligent transportation system technology, traffic jams in the next 20 years will be reduced to 40%, the existing road blockage problems will be effectively solved, the traffic accident rate could be reduced by 8%, and the resulting accident deaths would be reduced by 30-70%, which is of great significance for the healthy growth in domestic transportation and stable economic development. In recent years, the safety problems with Internet of Vehicles systems have gradually become a research hotspot. The Internet of Vehicles has the characteristics of complex dynamic topology changes, rapid vehicle movement, and unreliable transmission, which means that both the internal and external network are faced with security threats, such as malicious attacks. This means that solving the network security problems has become a great challenge. In recent years, VANET has been proposed as the basis of ITS to improve traffic efficiency and ensure the safety of vehicles and drivers. As VANET is characterized by its dynamic topology, high mobility, and variability, it is vulnerable to various attacks originating from malicious nodes. Malicious nodes in the Internet of Vehicles will broadcast and forward false traffic warning messages for selfish purposes, which will lead to traffic congestion, threaten people's lives, damage the entire VANET network function and affect its performance. They also discard received messages or refuse to help other vehicle nodes to forward messages. To enable the vehicle to operate normally and communicate on the road, it is necessary to detect false information in a timely fashion. Therefore, ensuring VANET security has become a pervasive area of research, and issues related to identifying malicious nodes and creating messages remain the focus of VANET security research.