EPri-MDAS:An efficient privacy-preserving multiple data aggregation scheme without trusted authority for fog-based smart grid  

作　　者：Jinjiao Zhang Wenying Zhang Xiaochao Wei Huimin Liu 

机构地区：[1]School of Information Science and Engineering,Shandong Normal University,Jinan 250014,China

出　　处：《High-Confidence Computing》2024年第4期69-81,共13页高置信计算(英文)

基　　金：supported by the National Natural Science Foundation of China(62272282).

摘　　要：With the increasingly pervasive deployment of fog servers,fog computing extends data processing and analysis to network edges.At the same time,as the next-generation power grid,the smart grid should meet the requirements of security,efficiency,and real-time monitoring of user energy consumption.By utilizing the low-latency and distributed properties of fog computing,it can improve communication efficiency and user service satisfaction in smart grids.For the sake of providing adequate functionality for the power grid,various schemes have been proposed.Whereas,many methods are vulnerable to privacy leakage since the existence of trusted authority may increase the exposure to threats.In this paper,we propose the EPri-MDAS:an Efficient Privacy-preserving Multiple Data Aggregation Scheme without trusted authority based on the ElGamal homomorphic cryptosystem,which achieves both data integrity verification and data source authentication with the most efficient block cipherbased authenticated encryption algorithm.It performs well in energy efficiency with strong security.Especially,the proposed multidimensional aggregation statistics scheme can perform the fine-grained data analyses;it also allows for fault tolerance while protecting personal privacy.The security analysis and simulation experiments show that EPri-MDAS can satisfy the security requirements and work efficiently in the smart grid.

关 键 词：PRIVACY-PRESERVING Multiple data aggregation Smart grid Fog computing 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]