Privacy in User Data Aggregation in Sensor-Rich Urban Infrastructures
Shuo Han, Fragkiskos Koufogiannis, Ufuk Topcu, George Pappas

Citation
Shuo Han, Fragkiskos Koufogiannis, Ufuk Topcu, George Pappas. "Privacy in User Data Aggregation in Sensor-Rich Urban Infrastructures". Talk or presentation, October, 2014; Poster presented at the 2014 TerraSwarm Annual Meeting.

Abstract
Sensor data from users are becoming more widely used in the operation of urban infrastructures such as the power grid and transportation systems. These sensor data may often relate to sensitive information such as daily activities that users are not willing to share with the public, and preserving user privacy becomes an important component to these sensor-rich urban infrastructures. We develop privacy-aware algorithms for two applications in city-scale infrastructures under the theoretical framework of differential privacy. Differential privacy is capable of preserving privacy regardless of any auxiliary information an adversary may have. The first algorithm is used to compute real-time privacy preserving pricing schemes for demand management through data collected from advanced metering infrastructures (commonly known as "smart meters"); the second algorithm is used to preserve privacy during coordinated charging of electric vehicles (EVs). For both algorithms, we provide formal privacy guarantees and evaluate their performance-privacy trade-off quantitatively.

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  • HTML
    Shuo Han, Fragkiskos Koufogiannis, Ufuk Topcu, George
    Pappas. <a
    href="http://www.terraswarm.org/pubs/400.html"><i>Privacy
    in User Data Aggregation in Sensor-Rich Urban
    Infrastructures</i></a>, Talk or presentation, 
    October, 2014; Poster presented at the <a
    href="http://www.terraswarm.org/conferences/14/annual"
    >2014 TerraSwarm Annual Meeting</a>.
  • Plain text
    Shuo Han, Fragkiskos Koufogiannis, Ufuk Topcu, George
    Pappas. "Privacy in User Data Aggregation in
    Sensor-Rich Urban Infrastructures". Talk or
    presentation,  October, 2014; Poster presented at the <a
    href="http://www.terraswarm.org/conferences/14/annual"
    >2014 TerraSwarm Annual Meeting</a>.
  • BibTeX
    @presentation{HanKoufogiannisTopcuPappas14_PrivacyInUserDataAggregationInSensorRichUrbanInfrastructures,
        author = {Shuo Han and Fragkiskos Koufogiannis and Ufuk
                  Topcu and George Pappas},
        title = {Privacy in User Data Aggregation in Sensor-Rich
                  Urban Infrastructures},
        month = {October},
        year = {2014},
        note = {Poster presented at the <a
                  href="http://www.terraswarm.org/conferences/14/annual"
                  >2014 TerraSwarm Annual Meeting</a>.},
        abstract = {Sensor data from users are becoming more widely
                  used in the operation of urban infrastructures
                  such as the power grid and transportation systems.
                  These sensor data may often relate to sensitive
                  information such as daily activities that users
                  are not willing to share with the public, and
                  preserving user privacy becomes an important
                  component to these sensor-rich urban
                  infrastructures. We develop privacy-aware
                  algorithms for two applications in city-scale
                  infrastructures under the theoretical framework of
                  differential privacy. Differential privacy is
                  capable of preserving privacy regardless of any
                  auxiliary information an adversary may have. The
                  first algorithm is used to compute real-time
                  privacy preserving pricing schemes for demand
                  management through data collected from advanced
                  metering infrastructures (commonly known as "smart
                  meters"); the second algorithm is used to preserve
                  privacy during coordinated charging of electric
                  vehicles (EVs). For both algorithms, we provide
                  formal privacy guarantees and evaluate their
                  performance-privacy trade-off quantitatively.},
        URL = {http://terraswarm.org/pubs/400.html}
    }
    

Posted by Shuo Han on 27 Oct 2014.
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