Research On Collaboration-Based Message Batch Verification Method In IoV

In recent years,with the development of urban road traffic,people’s demand for the convenience and safety of the traffic system has also increased.The Internet of Vehicles(IoV)technology came into being and played a huge role in preventing and controlling traffic accidents.Various traffic applications in the IoV are mainly achieved by information and data exchange.However,the open communication environment in the IoV making it possible to be exposed to various attacks and threats in the message transmission process.In order to ensure the information security in IoV,every node has to pass the message verification before receiving the security message.Due to the high dynamic characteristics of the IoV,the security message has strict timeliness requirements.In heavy traffic intersections,the basic computing resources in IoV are difficult to meet the strict time delay requirements of large-scale message verification.Therefore,it is of great significance to improve the verification efficiency of security messages in the IoV.This paper is committed to improving the efficiency of security message authentication in the IoV.The security messages in the IoV are divided into basic security messages in the security scenario and emergency messages in the accident driven scenario.The message scale and verification pressure in the network are different in different scenarios.According to the above two types of security messages,this paper designs a more targeted verification strategy to reduce the verification time delay of security messages and the loss rate of messages that fail to be verification in time.The specific research contents are as follows:One,aiming at the problem of limited computing resources of RSU,in order to reduce the time delay of security messages in the IoV,this paper proposes a message batch verification scheme based on dividing the cooperative verification region.This scheme firstly establishes a message batch verification delay system model based on collaboration in a distributed network.With the goal of reducing the system verification time delay of basic security messages,this scheme divides the cooperation areas and selects appropriate cooperative vehicles to assist RSU in message verification.The fuzzy control method is used in the selection of cooperative vehicles.The factors of vehicle calculation force,vehicle node connectivity and node stability are considered as the input of fuzzy control,and the output vehicle is used as the fitness of cooperative vehicles.The experimental results in SUMO urban traffic simulation platform show that the proposed scheme can effectively reduce the verification time delay of basic security messages of the system compared with existing schemes.The other,in an accident driven scenario of the IoV,in view of the surge of emergency messages in a certain area of the system caused by an emergency,the message verification scheme needs to be further optimized to ensure that all security messages in the system are verified in time.For this reason,aiming at maximizing the number of security messages verified by the system per unit time for different emergency message generation scales,three verification strategies are designed to adapt to the sporadic verification peaks under different emergency message scales.Because the arrival of emergency messages is uncertain,this scheme models the verification time delay of single sequential verification and batch verification based on queuing theory,and applies this model to emergency message verification process.The simulation results show that,compared with the RSU centralized batch verification scheme,this scheme can significantly reduce the loss rate of security messages due to untimely authentication in the system.