• DocumentCode
    3545298
  • Title

    Research on Privacy Preserving Distributed C4. 5 Algorithm

  • Author

    Shen, Yanguang ; Shao, Hui ; Huang, Jianzhong

  • Author_Institution
    Sch. of Inf. Sci. & Electr. Eng., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    216
  • Lastpage
    218
  • Abstract
    This paper studied how two parties collaboratively built a decision tree on the union of their dataset without revealing privacy when dataset is vertically and horizontally distributed. We gave an algorithm of privacy preserving C4.5 which is applicable to vertically and horizontally partitioned dataset, and also gave the detailed computation method of the information gain ratio in the case of without revealing privacy. The secure scalar product protocol, the xln(x) protocol and the secure sum protocol are used in collaborative computing, which can protect privacy effectively.
  • Keywords
    cryptographic protocols; data privacy; decision trees; groupware; collaborative computing; decision tree; horizontally partitioned dataset; information gain ratio; privacy preserving distributed C4.5 algorithm; secure scalar product protocol; secure sum protocol; vertically partitioned dataset; xln(x) protocol; Concrete; Data engineering; Data mining; Data privacy; Decision trees; Information science; Information technology; Partitioning algorithms; Protection; Protocols; C4.5 decision tree; distributed data mining; privacy preserving; secure multiparty calculation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-6420-3
  • Electronic_ISBN
    978-1-4244-6421-0
  • Type

    conf

  • DOI
    10.1109/IITAW.2009.81
  • Filename
    5419457