Application Research Of Blockchain Incentive Mechanism In Data Sharing In The Field Of Internet Of Vehicles

The Internet of Vehicles,or the Internet of Things for vehicles,realizes an integrated network of intelligent transportation and dynamic information service through multidimensional interaction between vehicles and vehicles,vehicles and road peripheral devices and network service platforms.Since nodes in the Internet of Vehicles(Io V)participate in data collection and data forwarding,limited bandwidth and energy will be consumed,which will lead to some vehicle nodes refusing to contribute data and forward data from other nodes in order to save resources,making it difficult to continue data sharing.The key challenge of data sharing is to motivate users to participate in data collection and sharing,so a reasonable and effective incentive mechanism is needed to improve the cooperation between vehicle nodes.On the one hand,malicious and selfish nodes are punished to maintain network security,and on the other hand,honest nodes are encouraged to further improve Io V availability and reliability.How to effectively improve the enthusiasm of participating nodes in Io V and ensure the efficient operation of data sharing in iot has become a research hotspot in the field of iot.This paper proposes a data sharing incentive model based on evolutionary game theory to improve the participation rate of Io V nodes in data sharing,designs a trust-rightstoken incentive mechanism for malicious nodes to increase the number of honest nodes,and verifies the effectiveness of the proposed strategy through experiments.The main work of this paper is as follows:Firstly,the incentive mechanism of the Internet of vehicles is analyzed in detail,and the incentive mechanism of block chain is introduced to solve the problem of existing users’ lack of enthusiasm to participate in data sharing.On the iot data sharing platform based on blockchain,a data sharing incentive model is constructed by evolutionary game theory,and factors affecting data sharing are obtained by replicating dynamic mechanical equations.The dynamic and adjustable iot data sharing is realized with the smart contract technology of blockchain,so that the nodes participating in data sharing in iot platform grow steadily and form a virtuous cycle.Secondly,on the basis of the incentive model of data sharing based on evolutionary game theory,an incentive mechanism based on trust-right-token is proposed.The trust evaluation model in this mechanism aims to screen out malicious nodes in the Internet of Vehicles platform,such as nodes sending false messages or malicious attacks on other honest nodes.A trust model was built for all vehicle nodes,and trust values were evaluated according to direct trust,indirect trust and message trust values,and the trust values were stored and maintained.This method can improve the accuracy of trust evaluation and meet the requirements of high dynamic vehicles in the Internet of vehicles.Then,according to the incentive mechanism based on trust value-rights-token proposed in this paper,the trust values of vehicles are graded and certificates are generated.According to the trust certificates of different levels,the nodes are implemented with three kinds of rewards and punishments combining trust value,right and token.In order to prevent the possible privacy leakage in the process of certificate distribution,a certificate distribution mechanism based on blockchain is proposed,which ensures the privacy security of vehicle identity,avoids the tracking of malicious nodes,and improves the efficiency of certificate distribution.Finally,the incentive mechanism based on evolutionary game theory is simulated.Experimental results show that the method proposed in this paper all tend to participate in data sharing under the initial participation ratio of 10%,30%,50% and 70%,and the saturation speed of vehicle node participation in data sharing is better than that of DIM-DS model,which effectively improves the enthusiasm of vehicle node participation in data sharing.On this basis,a trust assessment model is established for all nodes participating in data sharing,and malicious behaviors of nodes are accurately identified and rewarded and punished,so as to effectively reduce the number of malicious nodes in the Internet of Vehicles platform.The simulation experiment is carried out based on the incentive mechanism of trust value-rights-token designed in Chapter 4.Experimental results show that the detection accuracy of malicious nodes reaches more than 83.3% under 20%,40%and 60% malicious nodes,which is an average increase of 2.8% compared with other methods.The detection accuracy of malicious nodes under different vehicle speeds is an average increase of 3.3%.