SybilLimit: A nearoptimal social network defense against sybil attacks

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SybilLimit: A nearoptimal social network defense against sybil attacks

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by Haifeng Yu , Phillip B. Gibbons , Michael Kaminsky , Feng Xiao

Venue:	2008 [Online]. Available: http://www.comp.nus.edu.sg/~yuhf/sybillimit-tr.pdf
Citations:	212 - 7 self

BibTeX

@INPROCEEDINGS{Yu_sybillimit:a,
    author = {Haifeng Yu and Phillip B. Gibbons and Michael Kaminsky and Feng Xiao},
    title = {SybilLimit: A nearoptimal social network defense against sybil attacks},
    booktitle = {2008 [Online]. Available: http://www.comp.nus.edu.sg/~yuhf/sybillimit-tr.pdf},
    year = {}
}

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Abstract

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 2 ( p 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. Index Terms—Social networks, sybil attack, sybil identities, SybilGuard, SybilLimit. I.

Keyphrases

sybil attack nearoptimal social network defense sybil node social network index term social network million-node system promising direction real human being trusted central authority peer-to-peer system large-scale real-world social network log factor fast-mixing social network large number malicious user real-world social network sybil identity real world first evidence multiple fake identity key insight small number abstract open-access decentralized approach novel sybillimit protocol fundamental assumption recent sybilguard protocol sybillimit guarantee near-optimal guarantee

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