DocumentCode :
2854697
Title :
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
Author :
Kalogridis, Georgios ; Efthymiou, Costas ; Denic, Stojan Z. ; Lewis, Tim A. ; Cepeda, Rafael
Author_Institution :
Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK
fYear :
2010
fDate :
4-6 Oct. 2010
Firstpage :
232
Lastpage :
237
Abstract :
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.
Keywords :
data privacy; load management; metering; secondary cells; electrical power routing; home energy management; load signature; power management model; power mixing algorithm; privacy metrics; privacy of information; rechargeable battery; smart metering; Batteries; Data privacy; Entropy; Home appliances; Measurement; Privacy; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
Conference_Location :
Gaithersburg, MD
Print_ISBN :
978-1-4244-6510-1
Type :
conf
DOI :
10.1109/SMARTGRID.2010.5622047
Filename :
5622047
Link To Document :
بازگشت