智能电网中无需可信第三方的隐私保护数据 聚合方案

信息安全研究 ›› 2019, Vol. 5 ›› Issue (12): 1059-1067.

智能电网中无需可信第三方的隐私保护数据聚合方案

贺铮¹,张伟²,林东岱³

1. 中国科学院信息工程研究所
2. 中国科学院大学网络空间安全学院
3. 中科院信工所

收稿日期:2019-12-10 出版日期:2019-12-15 发布日期:2019-12-10
通讯作者: 贺铮
作者简介:贺铮博士，主要研究方向为隐私保护. hezheng@iie.ac.cn 张伟博士，主要研究方向为物联网安全、轻量化公钥密码等. iiezhangwei@126.com 林东岱博士，研究员，主要研究方向为密码学、安全协议. ddlin@iie.ac.cn

PrivacyPreserving MultiFunctional Data Aggregation Without TTP in Smart Grid

Received:2019-12-10 Online:2019-12-15 Published:2019-12-10

摘要/Abstract

摘要： 智能电网中，居民的用电量数据会被周期性地测量和上报，以便控制中心更方便地进行电力管理.然而，当前许多研究表明，实时收集用户用电量并进行数据聚合可能导致用户的隐私泄露.多数现有工作基于可信第三方进行研究，然而该方法带来较大的计算开销.利用Shamir秘密共享的思想来实现智能电表间自主协商聚合参数，无需引入可信第三方.支持多种用电量数据的聚合方式，同时能够保护用户的隐私.通过分析，本方案能够兼顾安全性和效率，实验表明，方案效率较高且易于在实践中部署.

关键词: 数据聚合, 智能电网, 隐私保护, 多方计算, 安全分析

Abstract: In the smart grid, residents electricity usage needs to be periodically measured and reported for the purpose of better energy management. However, many studies have shown that realtime collection of residents electricity consumption may unfavorably incur privacy leakage. Most existing work is based on trusted third party (TTP), but this approach introduces large computational overhead. In this paper, we construct a new scheme which utilizes Shamirs secret sharing to allow smart meters to negotiate aggregation parameters in the absence of a TTP. This scheme efficiently supports multifunctional aggregation of the electricity readings and simultaneously preserves residents privacy. Theoretical analysis of this scheme is provided with regard to security and efficiency. Moreover, experimental data obtained from a prototype indicates that our proposal is efficient and feasible for practical deployment.

Key words: data aggregation, smart grid, privacy preserving, multifunctional computation, security analysis

贺铮张伟林东岱. 智能电网中无需可信第三方的隐私保护数据聚合方案[J]. 信息安全研究, 2019, 5(12): 1059-1067.

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