Data sharing technology in Internet of Vehicles(Io V)has attracted great research interest with the goal of realizing intelligent transportation and traffic management.Meanwhile,the main concerns have been raised abou...Data sharing technology in Internet of Vehicles(Io V)has attracted great research interest with the goal of realizing intelligent transportation and traffic management.Meanwhile,the main concerns have been raised about the security and privacy of vehicle data.The mobility and real-time characteristics of vehicle data make data sharing more difficult in Io V.The emergence of blockchain and federated learning brings new directions.In this paper,a data-sharing model that combines blockchain and federated learning is proposed to solve the security and privacy problems of data sharing in Io V.First,we use federated learning to share data instead of exposing actual data and propose an adaptive differential privacy scheme to further balance the privacy and availability of data.Then,we integrate the verification scheme into the consensus process,so that the consensus computation can filter out low-quality models.Experimental data shows that our data-sharing model can better balance the relationship between data availability and privacy,and also has enhanced security.展开更多
The Internet of Things(IoT)has the characteristics of limited resources and wide range of points.Aiming at the problems of policy centralization and single point of failure in traditional access control schemes,a dist...The Internet of Things(IoT)has the characteristics of limited resources and wide range of points.Aiming at the problems of policy centralization and single point of failure in traditional access control schemes,a distributed access control method based on adaptive trust evaluation and smart contract is proposed to provide fine-grained,flexible and scalable authorization for IoT devices with limited resources.Firstly,a modular access control architecture with integrated blockchain is proposed to achieve hierarchical management of IoT devices.Secondly,an IoT trust evaluation model called AITTE based on adaptive fusion weights is designed to effectively improve the identification of illegal access requests from malicious nodes.Finally,an attribute-based access control model using smart contract called AACSC which is built,which consists of attribute set contract(ASC),registration contract(RC),state judgment contract(SJC),authority permission management contract(AMC),and access control contract(ACC).As experimental results show,the scheme can effectively solve the problem of access security in resource-constrained IoT environments.Moreover,it also ensures the reliability and efficiency of the access control implementation process.展开更多
基金supported by the Ministry of Education Industry-University Cooperation Collaborative Education Projects of China under Grant 202102119036 and 202102082013。
文摘Data sharing technology in Internet of Vehicles(Io V)has attracted great research interest with the goal of realizing intelligent transportation and traffic management.Meanwhile,the main concerns have been raised about the security and privacy of vehicle data.The mobility and real-time characteristics of vehicle data make data sharing more difficult in Io V.The emergence of blockchain and federated learning brings new directions.In this paper,a data-sharing model that combines blockchain and federated learning is proposed to solve the security and privacy problems of data sharing in Io V.First,we use federated learning to share data instead of exposing actual data and propose an adaptive differential privacy scheme to further balance the privacy and availability of data.Then,we integrate the verification scheme into the consensus process,so that the consensus computation can filter out low-quality models.Experimental data shows that our data-sharing model can better balance the relationship between data availability and privacy,and also has enhanced security.
基金This work was supported by the Ministry of Education Industry-University Cooperation Collaborative Education Projects of China(202102119036 and 202102082013).
文摘The Internet of Things(IoT)has the characteristics of limited resources and wide range of points.Aiming at the problems of policy centralization and single point of failure in traditional access control schemes,a distributed access control method based on adaptive trust evaluation and smart contract is proposed to provide fine-grained,flexible and scalable authorization for IoT devices with limited resources.Firstly,a modular access control architecture with integrated blockchain is proposed to achieve hierarchical management of IoT devices.Secondly,an IoT trust evaluation model called AITTE based on adaptive fusion weights is designed to effectively improve the identification of illegal access requests from malicious nodes.Finally,an attribute-based access control model using smart contract called AACSC which is built,which consists of attribute set contract(ASC),registration contract(RC),state judgment contract(SJC),authority permission management contract(AMC),and access control contract(ACC).As experimental results show,the scheme can effectively solve the problem of access security in resource-constrained IoT environments.Moreover,it also ensures the reliability and efficiency of the access control implementation process.
