Design And Implementation Of Trust Evaluation Algorithm For Vehicle-mounted Digital Twin Edge Network

As of June 2021,the number of motor vehicles in the country reached 384 million,including 292 million cars,while traffic accidents and environmental pollution caused by motor vehicles have caused widespread social concern.According to the data released by the National Bureau of Statistics,deaths caused by traffic accidents have become one of the main factors of unnatural deaths in China.On the one hand,Internet of Vehicles(IOV),as an important part of Intelligent Transportation System(ITS),can effectively reduce traffic accident rate and ease urban congestion.On the other hand,due to the characteristics of openness,mobility,real-time and dynamic change of topology,IOV are vulnerable to various network attacks.Although the traditional encryption and signature means can alleviate the security problems of IOV in authentication,access and data transmission,they do not solve the problem of malicious attacks on other nodes by internal nodes of IOV.Especially with the rapid development of autonomous driving technology today,an internal node sending false messages or carrying out network attacks to other nodes in the IOV,leading to wrong decisions,may cause serious traffic accidents and pose a threat to the lives and properties of drivers and passengers.Therefore,it is necessary to introduce ”trust management” mechanism in IOV to manage the trust of internal nodes,to dynamically identify malicious nodes and filter out trusted nodes for collaboration.For the ”trust management” mechanism in IOV,this paper focuses on the following aspects.· Design a hierarchical trust management framework According to the characteristics of the IOV,digital twins and edge computing are introduced into the IOV,and then a hierarchical trust management framework is designed,and each subsystem and workflow in the framework is defined in detail.· Implementation of an anti-attack trust evaluation algorithm Implement an anti-attack trust evaluation algorithm that is deployed to each subsystem of the hierarchical trust management framework for the calculation of local trust values and global trust values.· The Veins platform was used for simulation experiments Simulation of the IOV communication using Veins software,verification of the algorithm using the data obtained from the simulation,and finally analysis of the performance of the anti-attack trust management algorithm in various attack scenarios.In this paper,we construct a new vehicle-mounted Digital Twin edge Network based on the characteristics of IOV,then design a hierarchical trust management framework based on this network,and finally implement the trust evaluation algorithm corresponding to this framework.Experimental simulation results show that the anti-attack trust evaluation algorithm proposed in this paper is not only effective in identifying malicious nodes,but also resistant to attacks specifically targeting the trust management system.