## 2 Application of Regional Chain Technology in the Internet of Vehicles  
The deep integration of the Internet of Things, computers, mobile communication and other technologies with intelligent transportation promotes the wide application of vehicular communication and computing equipment in vehicles. This also transforms vehicles from traditional vehicles to mobile devices with computing communication abilities. This makes communication between vehicles possible, leading to the birth and rapid rise of Internet of Vehicles technology. The Internet of Vehicles is essentially a dynamic communication system for communication between vehicles and mobile public networks. The Internet obtains the data that are shared with the vehicle, and analyzes data on the vehicle and road, vehicle and the driver, the driver and the driver, and the driver, and the derivation between the driver and the third-party service providers. According to the analysis, the existence of the above relationship can be used to solve the urban traffic problems, and thus help to manage the urban intelligent transportation. In recent years, the safety problem of Internet of Vehicles systems has gradually become a research hotspot. The Internet of Vehicles has the characteristics of complex dynamic topology changes, fast vehicle movement, and unreliable transmission; therefore, both the internal and external network are faced with security threats such as malicious attacks, which mean that solving the network security problems has become a great challenge.  
The network environment of the Internet of Vehicles is very complex and changeable. The authentication and trust detection methods of on-board and network (VANET) technology are not applicable to the Internet of Vehicles network environment, because this can only handle a small number of simple event requirements, and cannot effectively store, query and trace big data on vehicles. With the development of blockchain technology as a new technology solution, the problems regarding storing and querying big data on the Internet of Vehicles can be solved. The blockchain core technology consensus mechanism can ensure the security and reliability of data transmission in the network. In actual intelligent transportation applications, recording transactions' traceability through the blockchain can effectively and strongly ensure behavior traceability and responsibility backtracking, achieve fairness and justice, and promote the efficient operation of various affairs. In practice, the security risks in the Internet of Vehicles are still very large, so we need to pay closer attention to the harm caused by malicious node attacks. The rational use of blockchain technology is of great significance to the process of detecting malicious nodes in the Internet of Vehicles. The vehicle status can be globally broadcast to fundamentally suppress malicious behavior, thus ensuring that the driver is provided with reliable event messages.  
Therefore, to reduce the security threat problem and network security problems, and protect the security and privacy of vehicles, it is necessary to improve the malicious node identification of the Internet of Vehicles, as well as to reasonably determine vehicle identity and the authenticity of the information. Based on this, this research chose to use a malicious node identification algorithm, focusing on the implementation of malicious node identification algorithms in the Internet of Vehicles under regional chain technology, and judge the main value of malicious node identification algorithms in the Internet of Vehicles.