The Research On Traceable Privacy Protection Data Search Scheme In Internet Of Vehicles Based On Fog Computing

With the rapid development of wireless communication technology,the Internet of Vehicles has become a platform for information exchange between people,vehicles and roadside infrastructure.The emergence of the Internet of Vehicles has improved road safety and traffic efficiency,and has greatly facilitated the implementation of Intelligent Transportation Systems(ITS).However,in the Internet of Vehicles,on the one hand,since the vehicle generates and publishes a large amount of data,it is very important to protect the identity of the vehicle to achieve privacy security.If a malicious vehicle publishes false data under full privacy protection,the vehicle may abuse the privacy protection feature and publish false data at will without being identified.On the other hand,the current appearance of fog has improved the efficiency and quality of the Internet of Vehicles,but it has also brought many new problems,how to ensure the security of data transmission and vehicle identity in the fog-based Internet of Vehicles.For these two aspects,the main research results of the thesis include:(1)We propose a traceable identity-based ring signature(TIBRS)scheme with constant size for protecting and tracing the identities of vehicle.In our proposed scheme,vehicles can publish their data anonymously through traceable identity-based ring signatures,so that their identities are protected.On the other hand,if malicious vehicles publish fake data,their identities need to be tracked,and a trusted third party(private key generation center)can track the identities of these vehicles on the signatures they generate.Our scheme has anonymity and sufficient security to protect the vehicle.(2)We propose a traceable attribute-based keyword search scheme for distributed data storage under fog computing-based internet of vehicles.Our scheme uses attribute sets to control data access permissions.Only vehicles that satisfy the data access structure can access the corresponding data.In order to avoid the data privacy leakage problem caused by the destruction of the fog server when the data is stored in a single fog server,we divide the data into blocks and encrypt the data blocks,and store different data blocks on different fog servers.When the vehicle needs to search for data,a Merkle hash tree is used to verify the accuracy of the searchd data block.Our scheme can also track vehicles that upload fake data.