• DocumentCode
    3210051
  • Title

    On the effectiveness of sybil defenses based on online social networks

  • Author

    Koll, David ; Jun Li ; Stein, John ; Xiaoming Fu

  • Author_Institution
    Univ. of Goettingen, Goettingen, Germany
  • fYear
    2013
  • fDate
    7-10 Oct. 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    A Sybil attack can inject many forged identities (called Sybils) to subvert a target system. Among various defense approaches, of particular attention are those that explore the online social networks (OSNs) of users in a target system to detect or tolerate Sybil nodes. Albeit different in their working principle, all these approaches assume it is difficult for an attacker to create attack edges to connect Sybils with honest users. However, researchers have found that an attacker can employ simple strategies to obtain many attack edges. In this work we revisit the state-of-the-art, OSN-based Sybil defenses, and point out their strengths and weaknesses due to the impact of the new properties. We find these defense approaches are vulnerable to attackers under the new scenario, and in many cases a Sybil node only needs to obtain a handful of attack edges to disguise itself as a benign node.
  • Keywords
    security of data; social networking (online); OSN; Sybil attack; Sybil defense; Sybil nodes; benign node; online social network; Communities; Educational institutions; Face; Facebook; Image edge detection; Joining processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Protocols (ICNP), 2013 21st IEEE International Conference on
  • Conference_Location
    Goettingen
  • Type

    conf

  • DOI
    10.1109/ICNP.2013.6733630
  • Filename
    6733630