• DocumentCode
    3599896
  • Title

    A privacy preserving scheme for change increment of electricity big data base on symmetric cryptography

  • Author

    Yiwen Nie ; Wei Yang ; Liusheng Huang ; Xiaorong Lu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2014
  • Firstpage
    487
  • Lastpage
    490
  • Abstract
    Because of the large volume and quick-change of real-time electricity data, users´ data generally is stored in various cloud platforms, which are easily attacked by adversaries, and users´ privacy is revealed by this disclosure of data indirectly. Therefore, in order to prevent the disclosure of privacy, it is necessary for cloud platforms to have an efficient, secure method to protect the real-time data. In this work, we present a privacy preserving scheme based on symmetric cryptography for change increment of electricity big data, which is proved to be of high-security and with high running efficiency through theoretical analysis and simulation experiment.
  • Keywords
    Big Data; cryptography; data protection; power markets; change increment; cloud platforms; electricity Big Data-base; real-time data protection; real-time electricity data; running efficiency; secure method; symmetric cryptography; user data storage; user privacy disclosure prevention; Big data; Cryptography; Data privacy; Indexes; Real-time systems; Servers; big data; electricity; privacy; symmetric cryptograph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
  • Print_ISBN
    978-1-4799-4720-1
  • Type

    conf

  • DOI
    10.1109/CCIS.2014.7175784
  • Filename
    7175784