Research On Security And Privacy-preserving In Internet Of Vehicles

The rapid development of wireless communication and Internet technologies makes interconnection of everything an unstoppable trend,and humans are entering the Internet of Things(Io T)era.Io T profoundly changes the way of people's life and develops a series of emerging industries,such as smart transportation,smart home and mobile healthcare.As an intelligent Io T application in transportation,Internet of Vehicles(Io V)can not only greatly reduce the traffic accidents,but also improve traffic efficiency and driving experience,which has attracted worldwide attention from industry and academia.Vehicles can collecting sensing information from own sensors in Io V.The information can be exchange in vehicles,RSUs and personal smart devices,and is uploaded to the cloud server.The cloud server can analyze the data via deep learning and data mining technologies to design a reasonable travel plan and create a comfortable driving environment for drivers.However,the traffic data may contain user's private and sensitive information,such as user's real identity or vehicle's location.The open wireless environment and hybrid communication model make the data vulnerable to various attacks,which may lead to the user's privacy at the risk of being leaked.Furthermore,traffic big data has more potential business value,so the third-party organizations desire to obtain the data to extract useful information.However,due to the privacy of traffic data,only authorized organizations can obtain it.Therefore,it is necessary to design a secure and efficient traffic data sharing protocol to achieve privacy preservation in Io V.Firstly,this thesis proposes a two-way heterogeneous signcryption scheme between PKI and CLC based on Io V.The scheme can realize CLC-to-PKI heterogeneous aggregate signcryption and PKI-to-CLC multi-receiver heterogeneous signcryption.And it ensures the confidentiality and unforgeability of messages.The performance analysis demonstrates that the proposed scheme is more efficient than the other existing schemes.Secondly,based on the proposed CLC-to-PKI heterogeneous aggregate signcryption scheme,a heterogeneous secure communication protocol for Io V is designed,named HSCP.And this thesis analyzes its security and simulate the performance.The security analysis shows that HSCP not only meets the security requirements,such as confidentiality,authentication,and non-repudiation,but also achieves the anonymity and traceability of vehicles.And the proposed protocol is secure against replay attacks.The simulation results show that HSCP has lower computation overhead and achieves higher efficiency compared with other existing schemes.So it is more suitable for resource-constrained Io V scenes.Finally,this thesis proposes a secure traffic data sharing protocol for Io V employing cloud computing and blockchain technologies to solve the security and privacy issues in traffic data sharing.This protocol combines the key encapsulation mechanism with the data encapsulation mechanism to encrypt the traffic data,which achieves secure data storage in cloud server.At the same time,the proposed protocol stores the data description information and access control list in blockchain,and achieves secure data sharing through smart contract.Additionally,this protocol achieves privacy preservation of vehicles because of vehicles utilize pseudonym to communicate with other entities.