Bisq去中心化交易所：参与的隐私成本
The Bisq Decentralised Exchange: On the Privacy Cost of Participation
AI总结：
该研究分析了Bisq去中心化交易所参与者共享数据的隐私成本，通过地址聚类启发式方法聚合参与者活动，识别其化名与市场角色，并提出隐私保护建议。
摘要：
Bisq交易协议与Bisq去中心化自治组织（DAO）是去中心化加密货币交易所Bisq的核心组件。Bisq交易协议系统化了比特币与其他货币的点对点交易，Bisq DAO则将整个交易所的治理与财务职能去中心化。然而，参与者在遵循Bisq交易协议并与Bisq DAO交互时，必然会向比特币区块链发布数据，并向Bisq点对点网络广播额外数据。本文研究参与者共享这些数据所产生的隐私成本，具体而言，我们采用新颖的地址聚类启发式方法，构建参与者到比特币区块链地址的一对多映射，并利用Bisq点对点网络内存储的数据扩充地址聚类结果。我们描述了适用于Bisq交易协议和Bisq DAO的地址聚类启发式方法，表明这些启发式方法可聚合参与者的各类活动，包括交易、投票、转账等。我们还识别出参与者使用多个化名的情况，其中部分化名是真实世界姓名，同时确定了双边市场中的主要交易者及其角色，最后为未来更好地保护参与者隐私提出了建议。
英文摘要：
The Bisq Trade Protocol and the Bisq Decentralised Autonomous Organisation (DAO) are core components of Bisq, a decentralised cryptocurrency exchange. The Bisq Trade Protocol systematises the peer-to-peer trading of Bitcoin for other currencies and the Bisq DAO decentralises the governance and finance functions of the entire exchange. However, by following the Bisq Trade Protocol and interacting with the Bisq DAO, participants necessarily publish data to the Bitcoin blockchain and broadcast additional data to the Bisq peer- to-peer network. We examine the privacy cost to participants in sharing this data. Specifically, we use novel address clustering heuristics to construct the one-to-many mappings from participants to addresses on the Bitcoin blockchain and augment the address clusters with data stored within the Bisq peer-to-peer network. We describe address clustering heuristics for both the Bisq Trade Protocol and the Bisq DAO. We show that the heuristics aggregate activity performed by each participant: trading, voting, transfers, and so on. We identify instances where participants are operating under multiple aliases, some of which are real-world names. We identify the dominant transactors and their role in a two-sided market. We conclude with suggestions to better protect the privacy of participants in the future.
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