Smart meter privacy: A utility-privacy framework

S. Raj Rajagopalan, Lalitha Sankar, Soheil Mohajer, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

145 Scopus citations

Abstract

End-user privacy in smart meter measurements is a well-known challenge in the smart grid. The solutions offered thus far have been tied to specific technologies such as batteries or assumptions on data usage. Existing solutions have also not quantified the loss of benefit (utility) that results from any such privacy-preserving approach. Using tools from information theory, a new framework is presented that abstracts both the privacy and the utility requirements of smart meter data. This leads to a novel privacy-utility tradeoff problem with minimal assumptions that is tractable. Specifically for a stationary Gaussian Markov model of the electricity load, it is shown that the optimal utility-and-privacy preserving solution requires filtering out frequency components that are low in power, and this approach appears to encompass most of the proposed privacy approaches.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011
Pages190-195
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE 2nd International Conference on Smart Grid Communications, SmartGridComm 2011 - Brussels, Belgium
Duration: Oct 17 2011Oct 20 2011

Publication series

Name2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011

Other

Other2011 IEEE 2nd International Conference on Smart Grid Communications, SmartGridComm 2011
Country/TerritoryBelgium
CityBrussels
Period10/17/1110/20/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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