Dandelion: Redesigning the Bitcoin Network for Anonymity

January 16, 2017 Β· Declared Dead Β· πŸ› Proceedings of the ACM on Measurement and Analysis of Computing Systems

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Authors Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Pramod Viswanath arXiv ID 1701.04439 Category cs.CR: Cryptography & Security Cross-listed cs.IT Citations 71 Venue Proceedings of the ACM on Measurement and Analysis of Computing Systems Last Checked 5 months ago
Abstract
Bitcoin and other cryptocurrencies have surged in popularity over the last decade. Although Bitcoin does not claim to provide anonymity for its users, it enjoys a public perception of being a `privacy-preserving' financial system. In reality, cryptocurrencies publish users' entire transaction histories in plaintext, albeit under a pseudonym; this is required for transaction validation. Therefore, if a user's pseudonym can be linked to their human identity, the privacy fallout can be significant. Recently, researchers have demonstrated deanonymization attacks that exploit weaknesses in the Bitcoin network's peer-to-peer (P2P) networking protocols. In particular, the P2P network currently forwards content in a structured way that allows observers to deanonymize users. In this work, we redesign the P2P network from first principles with the goal of providing strong, provable anonymity guarantees. We propose a simple networking policy called Dandelion, which achieves nearly-optimal anonymity guarantees at minimal cost to the network's utility. We also provide a practical implementation of Dandelion.
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