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A Refined Analysis of Zcash Anonymity

Zongyang Zhang, Weihan Li, Haitao Liu, Jianwei Liu

2020IEEE Access30 citationsDOIOpen Access PDF

Abstract

With the continuous development and popularity of blockchain technology, anonymity of cryptocurrency has attracted wide attention. Zcash is an altcoin of Bitcoin aiming to protect blockchain anonymity. Its anonymity is highly guaranteed by zero-knowledge proofs. However, it is still practicable to decrease Zcash's anonymity. In this paper, we provide a refined empirical analysis of Zcash anonymity. We improve current address clustering methods and increase the clustering rate by 9%. We also analyze the whole process of distributing mining reward and identify 87.5% addresses and 25.7% transactions. Besides, we simplify Zcash transaction network and then pick out nodes (edges) which play important roles in network connectivity. We show that these nodes are mostly mining pools. In particular, users participating in shieldedpool are mostly founders, miners and mining pools, although shieldedpool itself is designed for protecting anonymity of users with high privacy requirements. Our results, to an extent, are opposite to the original intention of Zcash.

Topics & Concepts

AnonymityComputer scienceCluster analysisDatabase transactionBlockchainCryptocurrencyPopularityComputer securityProcess (computing)Data miningDatabaseArtificial intelligenceOperating systemPsychologySocial psychologyBlockchain Technology Applications and SecurityInternet Traffic Analysis and Secure E-votingPrivacy-Preserving Technologies in Data
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