A fine-grained privacy protection data aggregation scheme for outsourcing smart grid  

作　　者：Hongyang LI Xinghua LI Qingfeng CHENG 

机构地区：[1]School of Cyber Engineering,Xidian University,Xi’an 710071,China [2]Strategic Support Force Information Engineering University,Zhengzhou 450001,China

出　　处：《Frontiers of Computer Science》2023年第3期187-198,共12页中国计算机科学前沿（英文版）

基　　金：This work was supported in part by the National Natural Science Foundation of China(Grant Nos.62125205,62072361 and 61872449)。

摘　　要：Compared with the traditional power grid,smart grid involves many advanced technologies and applications.However,due to the rapid development of various network technologies,smart grid is facing the challenges of balancing privacy,security,efficiency,and functionality.In the proposed scheme,we design a privacy protection scheme for outsourcing smart grid aided by fog computing,which supports fine-grained privacy-protected data aggregation based on user characteristics.The fog server matches the encrypted characteristics in the received message with the encrypted aggregation rules issued by the service provider.Therefore,the service provider can get more fine-grained analysis data based on user characteristics.Different from the existing outsourcing smart grid schemes,the proposed scheme can achieve real-time pricing on the premise of protecting user privacy and achieving system fault tolerance.Finally,experiment analyses demonstrate that the proposed scheme has less computation overhead and lower transmission delay than existing schemes.

关 键 词：smart grid data aggregation FINE-GRAINED privacy preservation real-time pricing 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]