Please use this identifier to cite or link to this item:
|Title:||SybilLimit: A near-optimal social network defense against sybil attacks|
|Authors:||Yu, H. |
|Citation:||Yu, H., Gibbons, P.B., Kaminsky, M., Xiao, F. (2008). SybilLimit: A near-optimal social network defense against sybil attacks. Proceedings - IEEE Symposium on Security and Privacy : 3-17. ScholarBank@NUS Repository. https://doi.org/10.1109/SP.2008.13|
|Abstract:||Decentralized distributed systems such as peer-to-peer systems are particularly vulnerable to sybil attacks, where a malicious user pretends to have multiple identities (called sybil nodes). Without a trusted central authority, defending against sybil attacks is quite challenging. Among the small number of decentralized approaches, our recent SybilGuard protocol  leverages a key insight on social networks to bound the number of sybil nodes accepted. Although its direction is promising, SybilGuard can allow a large number of sybil nodes to be accepted. Furthermore, SybilGuard assumes that social networks are fast mixing, which has never been confirmed in the real world. This paper presents the novel SybilLimit protocol that leverages the same insight as SybilGuard but offers dramatically improved and near-optimal guarantees. The number of sybil nodes accepted is reduced by a factor of Θ(√n), or around 200 times in our experiments for a million-node system. We further prove that SybilLimit's guarantee is at most a log n factor away from optimal, when considering approaches based on fast-mixing social networks. Finally, based on three large-scale real-world social networks, we provide the first evidence that real-world social networks are indeed fast mixing. This validates the fundamental assumption behind SybilLimit's and SybilGuard's approach. © 2008 IEEE.|
|Source Title:||Proceedings - IEEE Symposium on Security and Privacy|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 17, 2018
WEB OF SCIENCETM
checked on Sep 5, 2018
checked on Sep 14, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.