• DocumentCode
    1972289
  • Title

    Searching in the dark: A framework for authenticating unknown users in online social networks

  • Author

    Lingjun Li ; Xinxin Zhao ; Guoliang Xue

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    714
  • Lastpage
    719
  • Abstract
    Authenticating users in online social networks (OSNs) is different from traditional authentication, because the participants in the authentication may not share any prior secret information. In this paper, we propose a decentralized authentication framework to help users authenticate unknown users in an OSN. In our framework, a user requests certificates from other trusted users to prove his identity in authentication. However, collecting certificates is constrained by the fact that trust is usually attritted with the length of a trust chain. Considering this constraint, our framework utilizes a decentralized online learning approach to help users collect more certificates. We further prove that the number of the collected certificates by each user using our protocols is close to optimum.
  • Keywords
    learning (artificial intelligence); message authentication; social networking (online); OSN; certificate collection; decentralized authentication framework; decentralized online learning approach; online social networks; secret information; trust chain length; unknown user authentication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503197
  • Filename
    6503197