• DocumentCode
    2236219
  • Title

    Algorithm for distributed traffic traces AGGREGATION based on SMC

  • Author

    Hao Wang ; Yujie Su ; Xiaohong Huang ; Pei Zhang

  • Author_Institution
    Network & Inf. Center, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    776
  • Lastpage
    779
  • Abstract
    In order to achieve secure data aggregation without exposing the data privacy of data providers, a distributed Top-k aggregation query method is proposed in this paper based on the Privacy-preserving. The center node in this algorithm will firstly do privacy protection processing for data objects from the list provided by participants. Then, it will use secure multiparty computation operations to do privacy protection for each list of data objects based on the three-stage threshold algorithm. In this way, the data objects provided by participants can be protected; meanwhile, the Top-k query results can be accessed quickly and accurately.
  • Keywords
    data privacy; query processing; SMC; data objects; data privacy; data providers; distributed Top-k aggregation query method; distributed traffic traces aggregation algorithm; privacy protection processing; privacy-preserving method; secure data aggregation; secure multiparty computation operations; three-stage threshold algorithm; Algorithm design and analysis; Collaboration; Cryptography; Data privacy; Distributed databases; Educational institutions; Protocols; Network measurement; Secure multiparty computation; Top-K;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664281
  • Filename
    6664281