论文标题
比特币区块链中货币流量的模式分析
Pattern Analysis of Money Flow in the Bitcoin Blockchain
论文作者
论文摘要
比特币是将交易存储在公开分布的分类帐中的第一个和最高价值的加密货币。了解比特币参与者的活动和行为是一个关键的研究主题，因为它们在交易网络中是假名。在本文中，我们提出了一种基于污点分析来提取污点流的方法 - 动态网络，代表从初始源传递到其他参与者直至溶解的比特币序列。然后，我们应用图形嵌入方法来表征污染流。我们用顶部采矿池的污染流来评估我们的嵌入方法，并表明它可以以很高的精度对采矿池进行分类。我们还发现，同一时期的污染流都显示出很高的相似性。我们的工作证明，追踪资金流可以是对源参与者进行分类和表征不同货币流程模式的有前途的方法
Bitcoin is the first and highest valued cryptocurrency that stores transactions in a publicly distributed ledger called the blockchain. Understanding the activity and behavior of Bitcoin actors is a crucial research topic as they are pseudonymous in the transaction network. In this article, we propose a method based on taint analysis to extract taint flows --dynamic networks representing the sequence of Bitcoins transferred from an initial source to other actors until dissolution. Then, we apply graph embedding methods to characterize taint flows. We evaluate our embedding method with taint flows from top mining pools and show that it can classify mining pools with high accuracy. We also found that taint flows from the same period show high similarity. Our work proves that tracing the money flows can be a promising approach to classifying source actors and characterizing different money flow patterns
