Paper Info
Title
Multi-resolution privacy-enhancing technologies for smart metering.
Abstract
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.
Year
DOI
Venue
2017
10.1186/s13635-017-0058-3
EURASIP J. Information Security
Keywords
Field
DocType
Smart meter, Homomorphic encryption, Masking, Differential privacy, Multiple resolutions, Smart grid
Homomorphic encryption,Differential privacy,Smart grid,Computer security,Computer science,Privacy-enhancing technologies,Smart meter,Metering mode,Privacy software,Wavelet
Journal
Volume
ISSN
Citations 
2017
2510-523X
0
PageRank 
References 
Authors
0.34
22
3
Name
Order
Citations
PageRank
Fabian Knirsch1264.07
Günther Eibl2506.68
Dominik Engel320625.60