Research On Privacy Preserving-oriented Trajectory Data Sharing Mechanisms In The IoVs

In recent years,sensor data sharing in the Internet of Vehicles(Io Vs)has attracted extensive attention due to its considerable economic and security benefits.Trajectory data,as one of the main shared contents,provides strong support for smart city optimization layout,intelligent route recommendation,traffic analysis and prediction,user behavior pattern mining,etc.It also promotes vehicle traffic safety and assists service providers in better providing services.The predictability of trajectory data strengthens the correlation between vehicle identity privacy and sensing data.Therefore,the trajectory data sharing has higher privacy protection requirements.Moreover,a large amount of storage and communication resources are consumed in the process of data sensing,which results in the reluctance of vehicle users to share the sensing data.In order to encourage the data sharing of vehicles,the data sharing transaction mode has emerged.In this mode,the data owner can share his sensing data with others for reward.However,in this process,some security and privacy issues have not been well solved.On the one hand,the highly dependent centralized cloud service center is not trusted.On the other hand,there is the problem of identity privacy disclosure in the process of data sharing and reward collection.Therefore,the main research contents of this thesis are as follows:(1)To addresses the issue of untrusted centralized cloud service center,this thesis proposes a privacy protection oriented data sharing framework for the Io Vs.In this framework,the blockchain is used to publicly record data evaluation results and data sharing transactions,and supervise the behavior of data sharing participants,including cloud service centers.(2)To addresses the issue of identity privacy disclosure in the process of data sharing and rewarding,this thesis proposes a privacy protection mechanism covering three stages.In the initialization phase,the real identity is hidden by anonymous certificate that change over time.In the data sharing stage,the track data is encrypted and transmitted by asymmetric encryption to protect the track data content and weaken the link relationship between the data and the vehicle identity.In the rewarding stage,an anonymous reward collection based on zero-knowledge-proof is designed to protect the real electronic account information of the vehicle.The weak correlation is achieved among the identity information of the data provider,the data contains information,and the electronic account information.(3)Combined with the proposed data sharing mechanism,this thesis constructs a trajectory data sharing simulation system based on Ethereum Truffle framework.The system realizes the functions of user registration and login,announcement release,data encryption and sharing,reward collection,evaluation information and transaction information uplink.On the basis of security and performance analysis,this thesis verifies the comprehensiveness and feasibility of privacy protection in the process of data sharing.