Heuristic Approaches Based Clustering of Bitcoin Addresses

Hong Liang Mao; Zhen Wu; Min He; Ji Qiang Tang; Meng Shen

doi:10.13190/j.jbupt.2017-237

Heuristic Approaches Based Clustering of Bitcoin Addresses

Hong Liang Mao, Zhen Wu, Min He, Ji Qiang Tang, Meng Shen

网络空间安全学院

National Computer Network Emergency Response Technical Team/Coordination Center of China

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

摘要

Because of anonymity of Bitcoin accounts, Bitcoin may be popular in some illegal trades and black market, such as the Silk Road.The author proposed an improved heuristic approaches-based method to cluster Bitcoin addresses and identify different addresses controlled by the same user. Three heuristic evidences were employed jointly. Through an elaborately designed experimental analysis, the precision and recall of the proposed method was verified. Furthermore, the efficiency with different iterations was analyzed, which can provide guidance in designing efficient clustering algorithm.

源语言	英语
页（从-至）	27-31
页数	5
期刊	Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications
卷	41
期	2
DOI	https://doi.org/10.13190/j.jbupt.2017-237
出版状态	已出版 - 1 4月 2018

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abstract = "Because of anonymity of Bitcoin accounts, Bitcoin may be popular in some illegal trades and black market, such as the Silk Road.The author proposed an improved heuristic approaches-based method to cluster Bitcoin addresses and identify different addresses controlled by the same user. Three heuristic evidences were employed jointly. Through an elaborately designed experimental analysis, the precision and recall of the proposed method was verified. Furthermore, the efficiency with different iterations was analyzed, which can provide guidance in designing efficient clustering algorithm.",

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AU - Wu, Zhen

AU - He, Min

AU - Tang, Ji Qiang

AU - Shen, Meng

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N2 - Because of anonymity of Bitcoin accounts, Bitcoin may be popular in some illegal trades and black market, such as the Silk Road.The author proposed an improved heuristic approaches-based method to cluster Bitcoin addresses and identify different addresses controlled by the same user. Three heuristic evidences were employed jointly. Through an elaborately designed experimental analysis, the precision and recall of the proposed method was verified. Furthermore, the efficiency with different iterations was analyzed, which can provide guidance in designing efficient clustering algorithm.

AB - Because of anonymity of Bitcoin accounts, Bitcoin may be popular in some illegal trades and black market, such as the Silk Road.The author proposed an improved heuristic approaches-based method to cluster Bitcoin addresses and identify different addresses controlled by the same user. Three heuristic evidences were employed jointly. Through an elaborately designed experimental analysis, the precision and recall of the proposed method was verified. Furthermore, the efficiency with different iterations was analyzed, which can provide guidance in designing efficient clustering algorithm.

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Heuristic Approaches Based Clustering of Bitcoin Addresses

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