文章基本信息

标题：Multi-resolution privacy-enhancing technologies for smart metering
本地全文：下载
作者：Fabian Knirsch ; Günther Eibl ; Dominik Engel 等
期刊名称：EURASIP Journal on Information Security
印刷版ISSN：1687-4161
电子版ISSN：1687-417X
出版年度：2017
卷号：2017
期号：1
页码：1-13
DOI：10.1186/s13635-017-0058-3
出版社：Hindawi Publishing Corporation
摘要：The availability of individual load profiles per household in the smart grid end-user domain combined with non-intrusive load monitoring to infer personal data from these load curves has led to privacy concerns. Privacy-enhancing technologies have been proposed to address these concerns. In this paper, the extension of privacy-enhancing technologies by wavelet-based multi-resolution analysis (MRA) is proposed to enhance the options available on the user side. For three types of privacy methods (secure aggregation, masking and differential privacy), we show that MRA not only enhances privacy, but also adds additional flexibility and control for the end-user. The combination of MRA and PETs is evaluated in terms of privacy, computational demands, and real-world feasibility for each of the three method types..
关键词：Smart meter ; Homomorphic encryption ; Masking ; Differential privacy ; Multiple resolutions ; Smart grid ;