Zero-knowledge proof (ZKP) mixers are one of the most widely-used blockchain privacy solutions, operating on top of smart contract-enabled blockchains. We find that ZKP mixers are tightly intertwined with the growing number of Decentralized Finance (DeFi) attacks and Blockchain Extractable Value (BEV) extractions. Through coin flow tracing, we discover that 205 blockchain attackers and 2,595 BEV extractors leverage mixers as their source of funds, while depositing a total attack revenue of 412.87M USD. Moreover, the US OFAC sanctions against the largest ZKP mixer, Tornado.Cash, have reduced the mixer's daily deposits by more than 80%. Further, ZKP mixers advertise their level of privacy through a so-called anonymity set size, which similarly to k-anonymity allows a user to hide among a set of k other users. Through empirical measurements, we, however, find that these anonymity set claims are mostly inaccurate. For the most popular mixers on Ethereum (ETH) and Binance Smart Chain (BSC), we show how to reduce the anonymity set size on average by 27.34% and 46.02% respectively. Our empirical evidence is also the first to suggest a differing privacy-predilection of users on ETH and BSC. State-of-the-art ZKP mixers are moreover interwoven with the DeFi ecosystem by offering anonymity mining (AM) incentives, i.e., users receive monetary rewards for mixing coins. However, contrary to the claims of related work, we find that AM does not necessarily improve the quality of a mixer's anonymity set. Our findings indicate that AM attracts privacy-ignorant users, who then do not contribute to improving the privacy of other mixer users.
翻译:零星知识验证( ZKP) 混音器是使用最广泛使用的链锁隐私解决方案之一, 在智能合同化的链锁链上操作。 我们发现 ZKP混音器与越来越多的分散金融( DeFi) 袭击和链链链提取值( BEV) 提取量紧密相连。 我们通过追踪硬币流,发现205个连锁袭击者和2 595 BEV 提取器利用混音器作为其资金来源, 同时存入攻击性收入总额412.87M美元。 此外, 美国对最大 ZKP 混音器“ 龙卷风. Cash” 的美国FAFAC制裁将混音器每日存款减少超过80 % 。 此外, ZKP混音器通过所谓的匿名设置大小来宣传他们的隐私水平, 类似k- 匿名性让用户在一组其他用户中躲藏。 然而, 通过经验测量, 我们发现这些匿名组合的声称大多不准确性。 对于Ethielum( Eth) 和Binance Smarket 连锁( BBC) 最受欢迎的混音用户来说, 我们的用户会显示, 也以不同的方式显示他们之间的匿名数据缩缩缩缩缩缩缩缩缩缩缩缩缩。</s>