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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Citation formats

• 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.
Groups: services