We analyzed the associations between Bitcoin transactions and addresses to cluster address and further find groups of addresses controlled by the same entity. It revealed the vulnerabilities of Bitcoin anonymity mechanism, which could be used by the law enforcement agencies to track and crack down illegal transactions. However, single heuristic method and incomplete heuristic conditions were difficult to cluster a large number of addresses comprehensively and accurately. Therefore, this paper reviewed a variety of heuristics, and used multiple heuristics comprehensively to cluster addresses to improve the degree of address aggregation and address recall rate, which laid a foundation for further inferring of entity identity.
翻译：我们分析了Bitcoin交易和地址之间的联系,以便进行分组处理,并进一步找到同一实体控制的地址组,它揭示了Bitcoin匿名机制的脆弱性,执法机构可以利用这种机制来追踪和查禁非法交易,然而,单一的通勤方法和不完整的通勤条件难以全面和准确地将大量地址组装在一起,因此,本文件审查了各种通勤学,并全面使用多种通勤学来分组处理,以提高地址汇总的程度,并解决收回率问题,从而为进一步推断实体身份奠定了基础。
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