智能电网中具有前向安全保护隐私的多维数据聚合方案

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Internet Technology Pub Date : 2021-01-01 DOI:10.3966/160792642021012201009
Guojun Wang, Xueya Xia, S. Ji, C. Lai
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引用次数: 1

摘要

智能电网是以高速双向通信网络为基础的新一代电力系统。在智能电网中,为了实现高效的能源管理,需要收集用户的用电数据,这可能会泄露用户的隐私。在过去的一段时间里,为了解决这个问题,数据聚合协议得到了广泛的研究。然而,这些协议将用户用电数据视为一维数据,这与现实不符。此外,密钥泄露也是智能电网的一个严重安全威胁。为此,我们提出了一种具有前向安全性的多维数据聚合协议。在该协议中,设计了多维数据结构来表示一个地区用户在多个时间段内的多维用电量数据,实现了用电量数据在时间和空间上的双重聚合。此外,安全性分析表明,该协议满足多种安全属性,性能分析表明,该协议在智能电网环境下更加优越。
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A Privacy-preserving Multi-dimensional Data Aggregation Scheme with Forward Security in Smart Grid
Smart grid is a new generation of power system on the strength of rapid-speed bidirectional communication network. In smart grid, the electricity data from users needs to be collected to realize efficient energy management, which may reveal their privacy. In the past period of time, data aggregation protocols have been extensively studied to solve this problem. However, these protocols treat users’ electricity data as single-dimensional data, which is inconsistent with reality. Moreover, key leakage is also a serious security threat in the smart grid. Therefore, we propose a multi-dimensional data aggregation protocol with forward security. In this protocol, a cube data structure is designed to represent the multi-dimensional electricity consumption data of users in a region over multiple time periods, realizing the dual aggregation of electricity data both in time and space. In addition, security analysis shows that the proposed protocol satisfies multiple security properties and performance analysis shows that our protocol is more superior in the smart grid environment.
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来源期刊
Journal of Internet Technology
Journal of Internet Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
3.20
自引率
18.80%
发文量
112
审稿时长
13.8 months
期刊介绍: The Journal of Internet Technology accepts original technical articles in all disciplines of Internet Technology & Applications. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Topics of interest to JIT include but not limited to: Broadband Networks Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business) Network Management Network Operating System (NOS) Intelligent systems engineering Government or Staff Jobs Computerization National Information Policy Multimedia systems Network Behavior Modeling Wireless/Satellite Communication Digital Library Distance Learning Internet/WWW Applications Telecommunication Networks Security in Networks and Systems Cloud Computing Internet of Things (IoT) IPv6 related topics are especially welcome.
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