Research On Data Distribution Method In Internet Of Vehicles Based On Blockchain

As an important part of intelligent transportation,the Internet of Vehicles（Io V）plays a key role in information sharing and traffic management.Data distribution technology,as one of the core technologies to realize real-time data transmission and sharing in the Io V,has attracted the attention of many researchers in recent years.However,due to the problems of data security and privacy protection,data distribution technology faces many difficulties and challenges.With the advantages of decentralization,untampering,openness and transparency,blockchain can change the traditional centralized architecture mode of the Io V,and has been widely applied in the field of the Io V.However,in the blockchain-based Io V architecture,the availability of services cannot be guaranteed because malicious nodes may attack the network and distribute the wrong data information.It should also be noted that because the data contains a lot of user privacy,it is easy to be leaked during data storage and distribution,which may cause serious losses to users.In view of the above problems,this paper proposes a research on the data distribution method of Io V based on blockchain architecture to resist malicious attacks and protect privacy.The main research contents of this dissertation are as follows:（1）Research on data distribution method of Io V based on blockchain architecture to resist malicious attackAiming at the problem of malicious attack in data distribution,this paper proposes Gossip authentication algorithm based on punishment mechanism.Firstly,the method adopts window protection mechanism to make the consensus nodes enter the network in chronological order to avoid network channel blocking caused by the simultaneous entry of multiple consensus nodes,thus improving the data distribution efficiency.Secondly,the method uses Gossip protocol to identify malicious nodes,reduce the time complexity of data distribution,improve the efficiency of data distribution,and design a punishment mechanism to punish malicious consensus nodes attacking the network,improve the security of data distribution.Finally,the effectiveness of the algorithm is verified by experiments.（2）Research on data distribution method of Io V based on blockchain architecture for privacy ProtectionAiming at the problem of privacy protection in data distribution,this paper proposes a privacy-oriented data distribution algorithm.Firstly,eligible vehicles are selected to participate in the data distribution to avoid the attack of malicious vehicles in the network and generate a reliable global aggregation model by calculating the credit value.Secondly,the local model training mode is optimized,and the momentum method is used to accelerate the convergence of the model and improve the accuracy of the training model to improve the efficiency of data distribution based on the federated learning algorithm.Experimental results and analysis show that the algorithm can not only improve the accuracy of the model,but also improve the efficiency of data distribution,and finally realize the privacy protection of data distribution in the Io V.To sum up,the Gossip authentication algorithm based on punishment mechanism improves the security of data distribution in the Io V by identifying and punishing malicious nodes.In addition,the privacy-oriented data distribution algorithm realizes the privacy protection of data distribution by keeping the original vehicle data locally.At the end of the paper,the main research content is summarized and the future research direction is prospected.