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On scaling perturbation based privacy-preserving schemes in smart metering systems

  • Xi'an Jiaotong University
  • Towson University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

The smart grid poses great concern about the exposure of consumers' privacy as the fine-grained measurements in the smart metering system can expose consumer's privacy through the disclosure of accurate load profiles of home energy usage. To address this issue, in this paper we propose novel scaling perturbation based privacy-preserving schemes that can achieve great utility for fine-grained measurements in a privacy-friendly and cost-effective manner. Our schemes adopt the measurement-based scaling perturbation to hide original measurements with low cost. Through a combination of both extensive theoretical analysis and experiments, our results show that the proposed schemes can preserve consumers' privacy through fine-grained measurements and achieve a better utility-privacy tradeoff in comparison with the existing schemes.

Original languageEnglish
Title of host publication22nd International Conference on Computer Communications and Networks, ICCCN 2013 - Conference Proceedings
DOIs
StatePublished - 2013
Event2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013 - Nassau, Bahamas
Duration: 30 Jul 20132 Aug 2013

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055

Conference

Conference2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013
Country/TerritoryBahamas
CityNassau
Period30/07/132/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • privacy-preserving
  • scaling perturbation
  • smart grid
  • smart metering systems

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