An Efficient Data Aggregation Scheme in Privacy-Preserving Smart Grid Communications with a High Practicability

被引：8
|
作者：
Pan, Bofeng [1 ]
Zeng, Peng [1 ]
Choo, Kim-Kwang Raymond [2 ]
机构：
[1] East China Normal Univ, Shanghai Key Lab Trustworthy Comp, Shanghai, Peoples R China
[2] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX USA
来源：
COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS, CISIS-2017 | 2018年 / 611卷
基金：
中国国家自然科学基金;
关键词：
Smart grid; Privacy-preserving; Data aggregation; Data analysis; FAULT-TOLERANCE;
D O I：
10.1007/978-3-319-61566-0_63
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.
引用
收藏
页码：677 / 688
页数：12
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