智能电网中保护隐私的智能电表数据汇总综合安全方案

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-06-29 DOI:10.1016/j.segan.2024.101461
Ram Baksh, Samiulla Itoo, Musheer Ahmad
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引用次数: 0

摘要

智能电表通过快速收集和向电力公司传输用电数据,在智能电网的运行中发挥着至关重要的作用。然而,智能电表数据的实时性给客户带来了隐私风险。为解决这一问题,智能电表用电量的加密聚合已被广泛采用,以保护客户隐私。在本文中,我们提出了一种专为智能电网设计的创新方案,以满足这些要求。与现有解决方案相比,我们的方案在通信成本、计算和功能特性方面都表现出了卓越的性能。所提出的认证协议不仅能实现电能消耗数据的安全共享,还能满足各种安全要求,包括相互认证、匿名、防止中间人攻击等。此外,与智能电网中的类似方案相比,我们的框架大大降低了计算、通信和存储开销。这凸显了我们建议的框架的全面性和安全性,在整体有效性和可靠性方面超越了其他现有的智能电网方案。
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A comprehensive and secure scheme for privacy-preserving smart meter data aggregation in the smart grid

Smart meters play a crucial role in the functioning of the smart grid by rapidly collecting and transmitting power consumption data to electricity companies. However, the real-time nature of smart meter data poses privacy risks for customers. To address this concern, encrypted aggregation of smart meter power consumption has been widely employed to protect customer privacy. In this paper, we propose an innovative scheme designed specifically for smart grids to fulfill these requirements. Our scheme demonstrates superior performance compared to existing solutions in terms of communication cost, computation, and functionality features. The proposed authentication protocol not only enables the secure sharing of power consumption data but also satisfies various security requirements, including mutual authentication, anonymity, prevention of man-in-the-middle attacks, and more. Furthermore, our framework exhibits significantly lower computing, communication, and storage overhead compared to similar schemes in the context of smart grids. This highlights the comprehensive and secure nature of our suggested framework, surpassing other existing smart grid schemes in terms of overall effectiveness and reliability.

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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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