Computation of privacy-preserving prices in smart grids
Fragkiskos Koufogiannis, Shuo Han, George Pappas

Citation
Fragkiskos Koufogiannis, Shuo Han, George Pappas. "Computation of privacy-preserving prices in smart grids". Talk or presentation, 16, September, 2014; Poster presented at the TerraSwarm 2014 Security and Privacy Workshop, Rochester, NY.

Abstract
Demand management through pricing is a modern approach that can improve the efficiency of modern power networks. However, computing optimal prices requires access to data that individuals consider private. We present a novel approach for computing prices while providing privacy guarantees under the differential privacy framework. Differentially private prices are computed through a distributed utility maximization problem with each individual perturbing their own utility function. Privacy concerning temporal localization and monitoring of an individual's activity is enforced in the process. The proposed scheme provides formal privacy guarantees and its performance-privacy trade-off is evaluated quantitatively.

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  • HTML
    Fragkiskos Koufogiannis, Shuo Han, George Pappas. <a
    href="http://www.terraswarm.org/pubs/370.html"><i>Computation
    of privacy-preserving prices in smart
    grids</i></a>, Talk or presentation,  16,
    September, 2014; Poster presented at the <a
    href="http://www.terraswarm.org/conferences/14/security/index.htm"
    >TerraSwarm 2014 Security and Privacy Workshop</a>,
    Rochester, NY.
  • Plain text
    Fragkiskos Koufogiannis, Shuo Han, George Pappas.
    "Computation of privacy-preserving prices in smart
    grids". Talk or presentation,  16, September, 2014;
    Poster presented at the <a
    href="http://www.terraswarm.org/conferences/14/security/index.htm"
    >TerraSwarm 2014 Security and Privacy Workshop</a>,
    Rochester, NY.
  • BibTeX
    @presentation{KoufogiannisHanPappas14_ComputationOfPrivacypreservingPricesInSmartGrids,
        author = {Fragkiskos Koufogiannis and Shuo Han and George
                  Pappas},
        title = {Computation of privacy-preserving prices in smart
                  grids},
        day = {16},
        month = {September},
        year = {2014},
        note = {Poster presented at the <a
                  href="http://www.terraswarm.org/conferences/14/security/index.htm"
                  >TerraSwarm 2014 Security and Privacy
                  Workshop</a>, Rochester, NY.},
        abstract = {Demand management through pricing is a modern
                  approach that can improve the efficiency of modern
                  power networks. However, computing optimal prices
                  requires access to data that individuals consider
                  private. We present a novel approach for computing
                  prices while providing privacy guarantees under
                  the differential privacy framework. Differentially
                  private prices are computed through a distributed
                  utility maximization problem with each individual
                  perturbing their own utility function. Privacy
                  concerning temporal localization and monitoring of
                  an individual's activity is enforced in the
                  process. The proposed scheme provides formal
                  privacy guarantees and its performance-privacy
                  trade-off is evaluated quantitatively.},
        URL = {http://terraswarm.org/pubs/370.html}
    }
    

Posted by Fragkiskos Koufogiannis on 18 Sep 2014.
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