【Author】
Chang, Tao-Hung; Svetinovic, Davor
【Source】IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
【Abstract】Bitcoin is a cryptocurrency and a financial transaction network implemented using blockchain technology. Users in the Bitcoin network use pseudonymous Bitcoin addresses and conduct transactions with others without revealing their real identities. In order to further enhance their privacy and convenience, users often use a large number of different addresses. In this paper, we analyze different patterns of transactions occurring in the Bitcoin network in order to cluster addresses that share the same ownership. In order to evaluate the proposed clustering approach, Bitcoin addresses belonging to known entities are tagged and these are used in conjunction with the Gini impurity index to test the accuracy of the recovered identity-based clusters. The results show that our heuristic was able to detect relationships between Bitcoin addresses that were missed by the existing heuristics.
【Keywords】Bitcoin; Privacy; Organizations; Public key; Cybernetics; Pattern analysis; Bitcoin; blockchain; data analytics; privacy
【摘要】比特币是一种加密货币，是使用区块链技术实现的金融交易网络。比特币网络中的用户使用假名比特币地址，并在不暴露真实身份的情况下与他人进行交易。为了进一步增强用户的私密性和便利性，用户经常使用大量不同的地址。在本文中，我们分析了比特币网络中发生的不同交易模式，以便聚集共享相同所有权的地址。为了评估所提出的聚类方法，标记了属于已知实体的比特币地址，并与基尼杂质指数一起使用，以测试恢复的基于身份的聚类的准确性。结果表明，我们的启发式能够检测到现有启发式遗漏的比特币地址之间的关系。
【关键词】比特币;隐私;组织;公钥;控制论;模式分析;比特币;区块链;数据分析;隐私
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