论文标题
跟踪混合比特币
Tracking Mixed Bitcoins
论文作者
论文摘要
据称,混音器服务删除了输入(沉积)比特币与输出(撤回)混合比特币之间的所有连接,似乎使污点分析跟踪无效。在本文中,我们介绍并探索了一种新颖的跟踪策略,称为\ emph {地址污染分析},该策略适应了基于基于交易的污点分析技术,用于跟踪通过混音器服务通过的比特币。我们还研究了将地址污染分析与地址聚类和向后疲倦相结合的潜力。我们进一步介绍了一组过滤标准,该标准根据撤回交易的特征减少了假阳性结果的数量,并通过以前的逆向工程研究的九种混合服务的可验证混合交易来评估我们的解决方案。我们的发现表明,可以使用地址污染分析从沉积比特币中跟踪混合比特币,并且在过滤标准下可以大大减少潜在交易输出的数量。
Mixer services purportedly remove all connections between the input (deposited) Bitcoins and the output (withdrawn) mixed Bitcoins, seemingly rendering taint analysis tracking ineffectual. In this paper, we introduce and explore a novel tracking strategy, called \emph{Address Taint Analysis}, that adapts from existing transaction-based taint analysis techniques for tracking Bitcoins that have passed through a mixer service. We also investigate the potential of combining address taint analysis with address clustering and backward tainting. We further introduce a set of filtering criteria that reduce the number of false-positive results based on the characteristics of withdrawn transactions and evaluate our solution with verifiable mixing transactions of nine mixer services from previous reverse-engineering studies. Our finding shows that it is possible to track the mixed Bitcoins from the deposited Bitcoins using address taint analysis and the number of potential transaction outputs can be significantly reduced with the filtering criteria.