论文标题

AMR:具有隐私的自主硬币混合器,可保留奖励分配

AMR:Autonomous Coin Mixer with Privacy Preserving Reward Distribution

论文作者

Le, Duc V., Gervais, Arthur

论文摘要

众所周知,开放区块链的用户是通过为政府,执法,特勤服务和同样提供服务的行业跟踪的。尽管大多数区块链不能保护用户的隐私并允许外部观察者链接交易和地址,但越来越多的研究兴趣尝试设计附加隐私解决方案,以帮助用户重新获得对非私人区块链的隐私。 在这项工作中,我们建议我们的第一个审查制度弹性混合器,该混音器可以以隐私的方式奖励其用户,以参与系统。正如我们所相信的那样,增加匿名设置的规模和用户的多样性是提高混音器在实践中贡献隐私的重要努力。支付的奖励可以采用治理令牌的形式,以分散对系统参数的投票,类似于“ Defi Farming”协议的运作方式。此外,通过利用现有的“ DEFI”贷款平台,AMR是第一个允许参与客户在存款资金上赢得财务利益的混音器设计。 我们的系统AMR是自主的,因为它不依赖任何外部服务器或第三方。对我们的AMR实施的评估表明,该系统今天支持以太坊匿名设置的大小超过数千用户,每天以超过66,000美元的存款能力以不断的系统成本为单位。我们提供了基于ZKSNARK的AMR系统的正式规范,MIMC和Poseidon Hash函数都具有隐私和安全分析,实施和评估。

It is well known that users on open blockchains are tracked by an industry providing services to governments, law enforcement, secret services, and alike. While most blockchains do not protect their users' privacy and allow external observers to link transactions and addresses, a growing research interest attempts to design add-on privacy solutions to help users regain their privacy on non-private blockchains. In this work, we propose to our knowledge the first censorship resilient mixer, which can reward its users in a privacy-preserving manner for participating in the system. Increasing the anonymity set size, and diversity of users, is, as we believe, an important endeavor to raise a mixer's contributed privacy in practice. The paid-out rewards can take the form of governance tokens to decentralize the voting on system parameters, similar to how popular "DeFi farming" protocols operate. Moreover, by leveraging existing "Defi" lending platforms, AMR is the first mixer design that allows participating clients to earn financial interests on their deposited funds. Our system AMR is autonomous as it does not rely on any external server or third party. The evaluation of our AMR implementation shows that the system supports today on Ethereum anonymity set sizes beyond thousands of users, and a capacity of over $66,000$ deposits per day, at constant system costs. We provide a formal specification of our zksnark-based AMR system, a privacy and security analysis, implementation, and evaluation with both the MiMC and Poseidon hash functions.

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