摘要
Bitcoin is a cryptocurrency based on blockchain.All historical Bitcoin transactions are stored in the Bitcoin blockchain,but Bitcoin owners are generally unknown.This is the reason for Bitcoin's pseudo-anonymity,therefore it is often used for illegal transactions.Bitcoin addresses are related to Bitcoin users'identities.Some Bitcoin addresses have the potential to be analyzed due to the behavior patterns of Bitcoin transactions.However,existing Bitcoin analysis methods do not consider the fusion of new blocks'data,resulting in low efficiency of Bitcoin address analysis.In order to address this problem,this paper proposes an incremental Bitcoin address cluster method to avoid re-clustering when new block data is added.Besides,a heuristic Bitcoin address clustering algorithm is developed to improve clustering accuracy for the Bitcoin Blockchain.Experimental results show that the proposed method increases Bitcoin address cluster efficiency and accuracy.
基金
The work reported in this paper has been partially supported by the National Key Research and Development Project(2020YFB1005503)
the NSFC Projects(61502209 and U1836116)
the Leading-edge Technology Program of Jiangsu Natural Science Foundation(BK20202001)
the NSFC of Jiangsu Province Project(BK20201415)
the UK-Jiangsu 20-20 World Class University Initiative programme,and the Natural Science Foundation of the Jiangsu Higher Education Institutions(Grant number:22KJB520016).
