A Trusted Model Research Of Vehicular Node In The Context Of Ad Hoc Networks

In recent years,with the development of technology and the prosperity of the automotive industry,people’s demand for cars has gradually increased,which has caused a series of traffic problems,such as traffic jams and traffic accidents.As the core technology of the intelligent transportation system,internet of vehicles can effectively improve the efficiency of transportation operations and ensure the safe travel of vehicles.Each node in the vehicular ad hoc network transmits information through wireless communication,and the topology structure changes rapidly.Its communication link is fragile and vulnerable to various security threats,the information security problem in the vehicular network has become one of the main contents of academic research today.The specific research work of this article is as follows:Firstly,the security problems and communication link problems of vehicular network characteristics are analyzed,and the malicious vehicular nodes are identified and the communication path is selected by calculating the reliability of communication nodes.In addition,some security trust models in wireless network and car network are described and analyzed.Secondly,on the basis of the above analysis of the trust model,entropy theory is applied to the research of vehicular ad hoc network trust model,and a kind of vehicular node ad-hoc network trust model based on entropy theory is proposed.By determining the trust factors that affect the trust degree of nodes,the corresponding factor system is established.According to the concept of information entropy,the direct trust value of the node and the recommended trust value determined by the maximum weight method are used to synthesize the overall trust value.The synthesized overall trust value further improves the wireless communication protocol AODV.Analyzing the Bayesian algorithm,the mainstream algorithm of the wireless network trust model,which uses the historical interaction information of the vehicle-mounted nodes as sample information,and at the same time combines the node prior information to obtain the node’s trust value(posterior information).When there is no direct experience interaction between nodes,according to the trust recommendation of the third-party node,the number of successful interactions and failure interactions of the nodes are superimposed to obtain the total number of successful interactions and failures,then the trust value of the node is calculated by Bayesian algorithm.Finally,simulation experiments are carried out for the proposed vehicle-mounted node adhoc network trust model based on entropy theory.In the experiment,the existing electronic map was used to map the actual road topology environment,and traffic flow simulator SUMO and network simulator NS2 were used for joint simulation,the performance analysis of AODV protocol and the change of trust value of vehicular nodes to entropy theory and Bayesian algorithm are realized.The performance analysis of AODV protocol and the change of trust value of vehicle-mounted nodes to entropy theory and Bayesian algorithm are realized.Through the research and analysis of simulation results,shows that the vehicular network communication link of the AODV routing protocol with the entropy theory trust model is more stable and the routing performance is better.In the same simulation scenario,the proposed trust model based on entropy theory takes into account several trust factors,which makes the trust interval of nodes more certain,and accelerates the detection rate of malicious nodes.