• DocumentCode
    658604
  • Title

    Addressing False Identity Attacks in Action-Based P2P Social Networks with an Open Census

  • Author

    Qin, Shuang ; Silaghi, Marius C. ; Matsui, Takashi ; Yokoo, M. ; Hirayama, Katsutoshi

  • Volume
    3
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    50
  • Lastpage
    57
  • Abstract
    P2P social networks defined by user actions (e.g., P2P discussion forums) are expected to be ideal environments for Sybil and false identity attacks (just as in the case of the similar web based systems: YouTube, etc.). In particular, these attacks are a significant impediment for meaningful electronic petition drives since they render impossible the verification of the eligibility of participants. While many electronic social networks strive for guaranteeing the privacy (e.g., by anonymization) of their users, existing systems for petition drives, like DirectDemocracyP2P.net, encourage users to disclose their real identities and are meaningless when users do not follow this request. We describe a framework and investigate techniques for running decentralized peer-to-peer census processes that enable observers to independently verify the identity of participants in a social network.
  • Keywords
    computer network security; peer-to-peer computing; social networking (online); P2P discussion forums; Sybil attacks; Web based systems; YouTube; action based P2P social networks; addressing false identity attacks; electronic petition drives; electronic social networks; false identity attacks; open census; peer-to-peer census processes; Computational modeling; Government; Mathematical model; Observers; Reliability; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-2902-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2013.149
  • Filename
    6690693