• DocumentCode
    3761328
  • Title

    At a Glance of Sybil Detection in OSN

  • Author

    Krishna B. Kansara;Narendra M. Shekokar

  • Author_Institution
    Dept. of Comput. Eng., D.J. Sanghvi Coll. of Eng., Mumbai, India
  • fYear
    2015
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    With increasing popularity of online social network (OSN), major threats are also emerging to challenge the security of OSN. One of the majors is Sybil attack, where malicious user unfairly creates multiple fake identities to penetrate the OSN security and integrity. Since last decades number of schemes have been developed for detecting ad defending Sybil attack. In this survey article, we aim to give an overview of researches against Sybil detection and suggested methodologies which have been implemented so far. Our survey aim to provide the foundation for the future researchers to trigger the significant Sybil defenses by overcoming the existing challenges.
  • Keywords
    Information systems
  • Publisher
    ieee
  • Conference_Titel
    Nanoelectronic and Information Systems (iNIS), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/iNIS.2015.46
  • Filename
    7434396