A cost-based framework for analysis of denial of service in networks
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ACSAC '04 Proceedings of the 20th Annual Computer Security Applications Conference
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ACM Transactions on Information and System Security (TISSEC)
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SP '05 Proceedings of the 2005 IEEE Symposium on Security and Privacy
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OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
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ACM Transactions on Internet Technology (TOIT)
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Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
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IEEE Transactions on Mobile Computing
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SybilGuard: defending against sybil attacks via social networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
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SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
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ACM Transactions on Information and System Security (TISSEC)
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Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
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NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
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Sybil attacks have been shown to be unpreventable except under the protection of a vigilant central authority. We use an economic analysis to show quantitatively that some applications and protocols are more robust against the attack than others. In our approach, for each distributed application and an attacker objective, there is a critical value that determines the cost-effectiveness of the attack. A Sybil attack is worthwhile only when the critical value is exceeded by the ratio of the value of the attacker's goal to the cost of identities. We show that for many applications, successful Sybil attacks may be expensive even when the Sybil attack cannot be prevented. Specifically, we propose the use of a recurring fee as a deterrent against the Sybil attack. As a detailed example, we look at four variations of the Sybil attack against a recurring fee based onion routing anonymous routing network and quantify its vulnerability.