Security And Data-trust Mechanism Of Information Centric Networking Based Automotive Network

With the development of morden city,traffic congestion is becoming more and more serious these years.A application which called dynamic routing in the intellent transportation system is a benifical attempt to solve this problem.Vehicles in automotive network can use local digital map and traffic information received through automotive network to calculate the optimized route in real-time to avoid traffic congestion road and reduce the traveling time.However,the dynamic routing application do not check the authenticity of the received data,gives malicious nodes chance to deliver fake information.Therefore,the data trust evaluation mechanism in automotive network can effectively enhance the stability of dynamic routing application and the authenticity of the results.It can also improve the robustness of the application.Dynamic routing application using traffic information as the basis,so it is more flexible compared with traditional entity trust model.Data based trust model do not need to judge the trust of entity first,and can calculate trust without introducing additional information,reducing the exchange between vehicles and overheads of network.To further reducing overhead in calculation of turst and ensuring the accuracy of results,we need to define different trust evaluation algorithm for different scenarios.It is necessary to deal with the performance in large number of information calculation and accuracy of result when messages are less.This paper is based on the application of dynamic routing in ITS.We proporse a data-based information trust evaluation model to solve the security and privacy issues and ensure driving safety.Simulation results show that the algorithms has high accuracy in test scenes,which can effectively prevent malicious information,and avoid the mislead form malicious nodes.