DocumentCode :
3288961
Title :
Combating Unauthorized Load Signal Analysis with Targeted Event Masking
Author :
Nicol, Thomas D. ; Nicol, David M.
Author_Institution :
PowerWorld Corp., Champaign, IL, USA
fYear :
2012
fDate :
4-7 Jan. 2012
Firstpage :
2037
Lastpage :
2043
Abstract :
Privacy concerns surround the advent of frequently reported meter readings, as analysis of the load demand can reveal electrical customer behavior. Load masking is a means by which consumer might achieve obfuscating the load being metered, by using large-scale electrical storage to either meet some demand locally, or add to the load by charging. This paper considers algorithms for masking load by masking individual load changes, and evaluates their effectiveness in terms of an observer´s ability to pin-point the actual change in load, when a new change is load is presented.
Keywords :
power meters; power system measurement; event masking; frequently reported meter readings; large-scale electrical storage; load masking; load signal analysis; privacy concerns; Discharges; Dispersion; Distortion; Entropy; Hardware; Monitoring; Observers; advanced metering; infrastructure; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science (HICSS), 2012 45th Hawaii International Conference on
Conference_Location :
Maui, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4577-1925-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2012.161
Filename :
6149040
Link To Document :
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