Research On The Security Mechanism Of Selfish Behavior And Tampering Attack Of The Internet Of Vehicles

The Internet of Vehicles adopts the "storage-carry-forwarding" communication mode,which can solve the problem of frequent disconnection of the link,the end-to-end link does not exist,and plays an important role in vehicle collision warning,traffic flow optimization,commercial entertainment scenarios,etc.,the existing research is generally aimed at the efficient transmission of messages,that is,the problem of researching routing,but the characteristics of the Internet of Vehicles are distributed and open,it is easy to cause the occurrence of insecure communication behaviors such as selfish behavior and tampering attacks.These insecure communication behaviors affect the transmission process of messages in the Internet of Vehicles and affect network performance.In order to solve the above problems,the main work of this article is as follows:(1)Propose an Incentive model for Message Cooperative Distribution based on Evolutionary Game Theory(IMCEG).Firstly,the selfish behavior in the Internet of Vehicles was introduced and different communication strategies adopted by vehicle nodes were modeled.Then,roadside units were used to cluster to obtain cluster head nodes within each communication cluster,and expected benefits were set based on the active participation of vehicle nodes in the message transmission process.Cluster head nodes were used as regulators to help vehicle nodes quickly evolve strategies based on expected benefits,Then,the dynamic evolution process was analyzed using replicated dynamic equations,proving that the incentive model IMCEG proposed in this chapter is stable.Finally,simulation experiments were conducted on the ONE simulation platform to demonstrate that the IMCEG model can transform selfish nodes into cooperative nodes,promote network nodes to participate in the transmission process of information,and improve network performance.(2)Further considering the security issues of tampering attacks faced by the Internet of Vehicles,a Security Incentive mechanism against Tampering Attacks(SITA)is proposed,which utilizes a combination of local detection mechanism based on message content and initiating detection mechanism based on topology information to jointly detect malicious nodes.Firstly,the tampering attack behavior was introduced,followed by a detailed introduction of the overall process of local detection mechanism and heuristic detection mechanism.Finally,through simulation and comparative experiments on the ONE platform,it was proven that the SITA mechanism has a high detection rate and a low false detection rate,good detection performance,and can show good improvement effects on network performance.