Research On Data Security Transaction For Internet Of Vehicles

Various streaming data generated by vehicles in real time is one of the important foun-dations for realizing various functions of the Internet of Vehicles,but two problems related to the sharing of streaming data hinder the further development of the Internet of Vehicles.First of all,the traditional Internet of Vehicles uses a centralized architecture,and the data is directly uploaded to the cloud.Service providers in the Internet of Vehicles can obtain huge profits by analyzing these data.However,in the process of collecting and transmit-ting data,the vehicle consumes various calculations and communications resources,but cannot profit from it,which discourages the enthusiasm of vehicles to share data? sec-ondly,the location and time tags contained in the data collected by vehicles will expose them to the risk of privacy leakage.These two problems hinder vehicles from sharing their own data.In order to solve these two problems,on the one hand,this thesis intro-duces blockchain technology into the Internet of Vehicles,and designs a data transaction system for vehicles to trade data autonomously? on the other hand,this thesis introduces personalized differential privacy technology and w event privacy technology to provide location privacy security guarantee for Internet of Vehicles data transactions.The research contents of this thesis are as follows:（1）A blockchain-based security data transaction system for the Internet of Vehicles is proposed.In the transaction system proposed in this thesis,users can obtain income by selling their own data,and service providers can only gain access rights after purchasing users’ data.In addition,all operations of Internet of Vehicles data transactions are recorded in the blockchain,which ensures the traceability of data transactions and the irreversibility of modifications.At the same time,the system uses a double-chain design to improve the security of transactions.The experimental results show that the security transaction system of Internet of Vehicles data has good stability.（2）An incentive mechanism with controllable privacy loss is proposed,which can effectively ensure the privacy and security of vehicle location.The incentive mechanism proposed in this thesis considers the balance between privacy and utility.This mecha-nism allows vehicles to customize the upper limit of their own privacy loss,and matches vehicles and Io V service providers whose privacy requirements match to ensure that Io V users can use their maximum Transaction flow data within the range of tolerable privacy loss.At the same time,in order to ensure that users honestly report their privacy prices,the mechanism designs a pricing strategy based on privacy loss?In order to ensure that the actual revenue of the vehicle and the actual amount of information obtained by the vehicle networking service provider can reach the expected level,the greedy privacy budget allo-cation algorithm and the group privacy budget adjustment algorithm are designed in the mechanism.Experiments and analysis show that the incentive mechanism designed in this paper can achieve the incentive effect and ensure that the privacy loss can be controlled.