• DocumentCode
    3199898
  • Title

    Security and privacy in online social networks: A survey

  • Author

    Joshi, Prateek ; Kuo, C. C Jay

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2011
  • fDate
    11-15 July 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Social networking becomes increasingly important due to the recent surge in online interaction. Social network analysis can be used to study the functioning of computer networks, information flow patterns in communities, and emergent behavior of physical and biological systems. In this paper, the mathematical formulation and computational models for security and privacy of social network data are discussed. Several possible ways for an attacker to attack are presented so that the mathematical formulation can take them into account. The metrics for measuring the amount of security and privacy in an online social network (OSN) are discussed so that we have an idea of how good a model is. Based on these current techniques and attack strategies, future directions of research are discussed.
  • Keywords
    data privacy; security of data; social networking (online); biological systems; information flow patterns; online interaction; online social network privacy; online social network security; physical systems; social network analysis; Data privacy; Peer to peer computing; Privacy; Publishing; Security; Social network services; anonymization; data mining; deanonymization; link prediction; privacy; security; social network graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-61284-348-3
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2011.6012166
  • Filename
    6012166