NDLI: SybilLimit: a near-optimal social network defense against sybil attacks

Content Provider	ACM Digital Library
Author	Yu, Haifeng Kaminsky, Michael Xiao, Feng Gibbons, Phillip B.
Copyright Year	2011
Abstract	Open-access distributed systems such as peer-to-peer systems are particularly vulnerable to sybil attacks, where a malicious user creates multiple fake identities (called sybil nodes). Without a trusted central authority that can tie identities to real human beings, 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. Despite its promising direction, 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 $Θ(√\textit{n}),$ or around 200 times in our experiments for a million-node system. We further prove that SybilLimit's guarantee is at most a log $\textit{n}$ 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.
Starting Page	885
Ending Page	898
Page Count	14
File Format	PDF
ISSN	10636692
DOI	10.1109/TNET.2009.2034047
Volume Number	18
Issue Number	3
Journal	IEEE/ACM Transactions on Networking (TON)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Social networks Sybil attack Sybil identities Sybilguard Sybillimit
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications

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