Competitive privacy in the smart grid: An information-theoretic approach

Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor

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

55 Scopus citations

Abstract

Advances in sensing and communication capabilities as well as power industry deregulation are driving the need for distributed state estimation at the regional transmission organizations (RTOs). This leads to a new competitive privacy problem amongst the RTOs since there is a tension between sharing data to ensure network reliability (utility/benefit to all RTOs) and withholding data for profitability and privacy reasons. The resulting tradeoff between utility, quantified via fidelity of its state estimate at each RTO, and privacy, quantified via the leakage of the state of one RTO at other RTOs, is captured precisely using a lossy source coding problem formulation for a two RTO network. For a two-RTO model, it is shown that the set of all feasible utility-privacy pairs can be achieved via a single round of communication when each RTO communicates taking into account the correlation between the measured data at both RTOs. The lossy source coding problem and solution developed here is also of independent interest.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011
Pages220-225
Number of pages6
DOIs
StatePublished - Dec 1 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
CountryBelgium
CityBrussels
Period10/17/1110/20/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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