SoK: The Evolution of Sybil Defense via Social Networks

Sybil attacks in which an adversary forges a potentially unbounded number of identities are a danger to distributed systems and online social networks. The goal of sybil defense is to accurately identify sybil identities. This paper surveys the evolution of sybil defense protocols that leverage the...

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Bibliographic Details
Main Authors: Alvisi, L., Clement, A., Epasto, A., Lattanzi, S., Panconesi, A.
Format: Conference Proceeding
Language:English
Subjects:
Communities
Detection algorithms
Facebook
Image edge detection
Protocols
Robustness
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Summary:Sybil attacks in which an adversary forges a potentially unbounded number of identities are a danger to distributed systems and online social networks. The goal of sybil defense is to accurately identify sybil identities. This paper surveys the evolution of sybil defense protocols that leverage the structural properties of the social graph underlying a distributed system to identify sybil identities. We make two main contributions. First, we clarify the deep connection between sybil defense and the theory of random walks. This leads us to identify a community detection algorithm that, for the first time, offers provable guarantees in the context of sybil defense. Second, we advocate a new goal for sybil defense that addresses the more limited, but practically useful, goal of securely white-listing a local region of the graph.
ISSN:1081-6011
2375-1207
DOI:10.1109/SP.2013.33