TY - GEN
T1 - Addressing false identity attacks in action-based P2P social networks with an open census
AU - Qin, S.
AU - Silaghi, Marius C.
AU - Matsui, T.
AU - Yokoo, M.
AU - Hirayama, K.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84893286221
UR - https://www.scopus.com/pages/publications/84893286221#tab=citedBy
U2 - 10.1109/WI-IAT.2013.149
DO - 10.1109/WI-IAT.2013.149
M3 - Conference contribution
AN - SCOPUS:84893286221
SN - 9781479929023
T3 - Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
SP - 50
EP - 57
BT - Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
T2 - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IATW 2013
Y2 - 17 November 2013 through 20 November 2013
ER -