网络与信息安全学报2025，Vol.11Issue(3)：163-174,12.DOI:10.11959/j.issn.2096-109x.2025037
智能电网中隐私保护的多维多函数数据聚合方案
Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid
摘要
Abstract
In smart grid,fine-grained user data can be effectively leveraged to support grid operation.However,achieving functional analysis of such data,especially its multi-dimensionalization and multi-functional operation,without compromising user privacy has been identified as an urgent problem.Most existing data aggregation schemes were based on the Paillier and BGN encryption systems,which failed to simultaneously address the multi-dimensionalization and multi-functional operation of data.To tackle this issue,a multi-dimensional and multi-functional data aggregation scheme was designed based on semi-homomorphic encryption.This scheme aimed to enable the multi-dimensionalization and multi-functional operation of meter data while protecting user privacy.The mechanism of partial homomorphic encryption was introduced,and blinding factor and hash function techniques were utilized.These enhancements significantly improved data confidentiality and utility.Security analysis indi-cates that the scheme is robust against chosen ciphertext attacks.In terms of computational efficiency,it outper-forms existing schemes based on the Paillier encryption system.关键词
隐私保护/数据聚合/同态加密/智能电网/多函数运算Key words
privacy preservation/data aggregation/homomorphic encryption/smart grid/multi-function arithmetic分类
信息技术与安全科学引用本文复制引用
王圆圆,韩益亮,吴立强,李鱼,姚武军,吴旭光,朱率率..智能电网中隐私保护的多维多函数数据聚合方案[J].网络与信息安全学报,2025,11(3):163-174,12.基金项目
国防科技创新计划 The National Defense Technology Innovation Program （）
