• DocumentCode
    1796450
  • Title

    A framework for privacy-preserving data sharing in the Smart Grid

  • Author

    Alharbi, Khalid ; Xiaodong Lin ; Jun Shao

  • Author_Institution
    Fac. of Bus. & Inf. Technol., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    Distributed energy resources, featured with small-scale power generation technologies and renewable energy sources, have been considered as a necessary supplement for the smart grid. In order to make the merged power grid to be still smart, the data generated at the consumer side should be shared among the energy resources. However, this approach brings difficulties on how to protect consumers´ privacy. To deal with the problem, in this paper, we propose a new framework for data sharing in the smart grid by using a combination of homomorphic encryption and proxy re-encryption techniques. The proposed framework allows the energy resources to be able to analyze the consumers´ data while keeping the consumers´ privacy. Another good property of our proposed framework is that the consumers´ data is transmitted over the smart grid only once. To the best of our knowledge, our framework is first attempt to consider an important problem concerning data sharing in the smart grid.
  • Keywords
    cryptography; data privacy; electric power generation; power system analysis computing; power system security; renewable energy sources; smart power grids; distributed energy resources; homomorphic encryption technique; power grid; privacy-preserving data sharing; proxy reencryption technique; renewable energy sources; small-scale power generation technologies; smart grid; Electricity; Encryption; Energy resources; Public key; Servers; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2014 IEEE/CIC International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCChina.2014.7008274
  • Filename
    7008274