DocumentCode :
1913723
Title :
Structure of optimal privacy-preserving policies in smart-metered systems with a rechargeable battery
Author :
Li, Simon ; Khisti, Ashish ; Mahajan, Aditya
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
375
Lastpage :
379
Abstract :
In smart-metered systems, fine-grained time-series power usage data (load profile) is communicated from a user to the utility provider. The correlation of the load profile with a user´s private activities leaves open the possibility of inference attacks. Using a rechargeable battery, the user can partially obscure its load profile and provide some protection to the private information using various strategies for charging and discharging the battery (battery management policies). Using mutual information as the privacy metric, we study optimal battery management policies for discrete alphabets. We show that the problem can be formulated as a Markov Decision Process, identify the associated state and action space, and using this framework characterize the optimal policy for the binary alphabet case.
Keywords :
Markov processes; battery management systems; secondary cells; smart meters; Markov decision process; battery management policies; fine-grained time-series power usage data; inference attacks; load profile; load profile correlation; optimal privacy-preserving policies; privacy metric; rechargeable battery; smart-metered systems; utility provider; Batteries; Home appliances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
Type :
conf
DOI :
10.1109/SPAWC.2015.7227063
Filename :
7227063
Link To Document :
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