• DocumentCode
    3451261
  • Title

    Anonymizing Path Nodes in Social Network

  • Author

    Wenlue Song ; Yan Zhang ; Wenyang Bai

  • Author_Institution
    State Key Lab. of Novel Software Technol., Nanjing, China
  • fYear
    2010
  • fDate
    27-28 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recently, social network privacy becomes a hot issue in the field of privacy. We are concerned about the path nodes in the social network. With the knowledge of the two endpoints of a path, the adversary can attack the privacy of the nodes on this path. In this paper, we define the adversary´s background knowledge, propose the anonymity model, and propose PN- Anonymity algorithm to adjust paths. Experimental results show that our algorithms can achieve the path nodes anonymous, and information loss can be well controlled to ensure the availability of information.
  • Keywords
    data privacy; graph theory; social networking (online); PN-anonymity algorithm; adversary background knowledge; anonymity model; information loss; path nodes; social network privacy; Data mining; Diseases; Lead; Privacy; Probability; Research and development; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications (DBTA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6975-8
  • Electronic_ISBN
    978-1-4244-6977-2
  • Type

    conf

  • DOI
    10.1109/DBTA.2010.5658931
  • Filename
    5658931