Edge computing is a highly virtualized paradigm that can services the Internet of Things(Io T)devices more efficiently.It is a non-trivial extension of cloud computing,which can not only meet the big data processing r...Edge computing is a highly virtualized paradigm that can services the Internet of Things(Io T)devices more efficiently.It is a non-trivial extension of cloud computing,which can not only meet the big data processing requirements of cloud computing,but also collect and analyze distributed data.However,it inherits many security and privacy challenges of cloud computing,such as:authentication and access control.To address these problem,we proposed a new efficient privacy-preserving aggregation scheme for edge computing.Our scheme consists of two steps.First,we divided the data of the end users with the Simulated Annealing Module Partition(SAMP)algorithm.And then,the end sensors and edge nodes performed respectively differential aggregation mechanism with the Differential Aggregation Encryption(DAE)algorithm which can make noise interference and encryption algorithm with trusted authority(TA).Experiment results show that the DAE can preserve user privacy,and has significantly less computation and communication overhead than existing approaches.展开更多
基金supported by the National Natural Science Foundation of China(61672321,61771289,and 61832012)the Natural Science Foundation of Shandong Province with Grants ZR2021QF050 and ZR2021MF075+6 种基金Shandong province key research and development plan(2019GGX101050)Shandong provincial Graduate Education Innovation Program(SDYY14052 and SDYY15049)Qufu Normal University Science and Technology Project(xkj201525)Shandong province agricultural machinery equipment research and development innovation project(2018YZ002)Qufu Normal University graduate degree thesis research innovation funding project(LWCXS201935)Shandong Provincial Specialized Degree Postgraduate Teaching Case Library Construction ProgramShandong Provincial Postgraduate Education Quality Curriculum Construction Program。
文摘Edge computing is a highly virtualized paradigm that can services the Internet of Things(Io T)devices more efficiently.It is a non-trivial extension of cloud computing,which can not only meet the big data processing requirements of cloud computing,but also collect and analyze distributed data.However,it inherits many security and privacy challenges of cloud computing,such as:authentication and access control.To address these problem,we proposed a new efficient privacy-preserving aggregation scheme for edge computing.Our scheme consists of two steps.First,we divided the data of the end users with the Simulated Annealing Module Partition(SAMP)algorithm.And then,the end sensors and edge nodes performed respectively differential aggregation mechanism with the Differential Aggregation Encryption(DAE)algorithm which can make noise interference and encryption algorithm with trusted authority(TA).Experiment results show that the DAE can preserve user privacy,and has significantly less computation and communication overhead than existing approaches.
