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Inferring the Stealthy Bridges Between Enterprise Network Islands in Cloud Using Cross-Layer Bayesian Networks Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Keep the Fakes Out: Defending Against Sybil Attack in P2P Systems

Authors : Kan Chen, Peidong Zhu, Yueshan Xiong

Published in: International Conference on Security and Privacy in Communication Networks

Publisher: Springer International Publishing

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Abstract

Sybil attack is one of the major threats in distributed systems. A number of colluded Sybil peers can pollute and disrupt the system’s key functions. The main idea of defense against Sybil attack is to distinguish the Sybils according to specific rules. Prior works are all limited by attack edges, the connections between normal and Sybil peers. The problem is that the number of attack edges could be huge, resulting in low accuracies. Besides, Sybil peers always present in groups and bring about the bridge problem, which is always ignored. In this paper, we propose KFOut, a light weighted framework for Sybil detection. At the heart of KFOut lie a trust model of social relations and a security mechanism of path notification of K-different paths, which can conquer the bridge problem effectively. We prove through experiments that KFOut can accept normal peers and reject Sybil peers both with high accuracies.

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Metadata
Title
Keep the Fakes Out: Defending Against Sybil Attack in P2P Systems
Authors
Kan Chen
Peidong Zhu
Yueshan Xiong
Copyright Year
2015
Book
International Conference on Security and Privacy in Communication Networks

Print ISBN: 978-3-319-23828-9

Electronic ISBN: 978-3-319-23829-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-23829-6_14

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