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Bojja Venkatakrishnan, S., Fanti, G., & Viswanath, P. (2017). Dandelion: Redesigning the Bitcoin Network for Anonymity, Proc. ACM Meas. Anal. Comput. Syst. 1(1). 
Added by: Rucknium (01/08/2024, 16:22)   
Resource type: Journal Article
DOI: 10.1145/3084459
BibTeX citation key: BojjaVenkatakrishnan2017
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Categories: Not Monero-focused
Keywords: Bitcoin, cryptocurrencies
Creators: Bojja Venkatakrishnan, Fanti, Viswanath
Collection: Proc. ACM Meas. Anal. Comput. Syst.
Views: 245/657
Attachments   3084459.pdf [39/101] URLs   https://doi.org/10.1145/3084459
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 provides quasi-optimal, network-wide anonymity, with minimal cost to the network's utility. We also discuss practical implementation challenges and propose heuristic solutions.
Added by: Rucknium  
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