• DocumentCode
    83836
  • Title

    Secure Mining of Association Rules in Horizontally Distributed Databases

  • Author

    Tassa, Tamir

  • Author_Institution
    Dept. of Math. & Comput. Sci., Open Univ., Ra´anana, Israel
  • Volume
    26
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    970
  • Lastpage
    983
  • Abstract
    We propose a protocol for secure mining of association rules in horizontally distributed databases. The current leading protocol is that of Kantarcioglu and Clifton . Our protocol, like theirs, is based on the Fast Distributed Mining (FDM)algorithm of Cheung et al. , which is an unsecured distributed version of the Apriori algorithm. The main ingredients in our protocol are two novel secure multi-party algorithms-one that computes the union of private subsets that each of the interacting players hold, and another that tests the inclusion of an element held by one player in a subset held by another. Our protocol offers enhanced privacy with respect to the protocol in . In addition, it is simpler and is significantly more efficient in terms of communication rounds, communication cost and computational cost.
  • Keywords
    data mining; distributed databases; security of data; Apriori algorithm; FDM; association rules; fast distributed mining; horizontally distributed databases; multiparty algorithms; protocol; secure mining; Association rules; Encryption; Itemsets; Protocols; Vectors; Privacy preserving data mining; association rules; distributed computation; frequent item sets;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2013.41
  • Filename
    6475941