智能电表的隐私:迈向不可检测的设备负载签名

G. Kalogridis, Costas Efthymiou, S. Denic, T. Lewis, R. Cepeda
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引用次数: 443

摘要

智能电网隐私包括通过分析智能计量数据提取的信息的隐私。在本文中,我们建议可以使用家庭电力路由来调节家庭负载签名,以隐藏电器使用信息。特别是,1)我们引入了一种使用可充电电池的电源管理模型,2)我们提出了一种功率混合算法,3)我们通过提出三种不同的隐私指标来评估其保护水平:信息理论(相对熵),聚类分类和相关/回归之一;这些都在不同的计量数据集上进行了测试。本文为进一步研究优化家庭能源管理与隐藏负载特征的主题奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
Smart grid privacy encompasses the privacy of information extracted by analysing smart metering data. In this paper, we suggest that home electrical power routing can be used to moderate the home's load signature in order to hide appliance usage information. In particular, 1) we introduce a power management model using a rechargeable battery, 2) we propose a power mixing algorithm, and 3) we evaluate its protection level by proposing three different privacy metrics: an information theoretic (relative entropy), a clustering classification, and a correlation/regression one; these are tested on different metering datasets. This paper sets the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.
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