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AuthorZheng, Baokun
AuthorZhu, Liehuang
AuthorShen, Meng
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-12-14T15:54:54Z
Publication Date2020-03-01
Publication NameScience China Information Sciences
Identifierhttp://dx.doi.org/10.1007/s11432-019-9900-9
CitationZheng, B., Zhu, L., Shen, M., Du, X., & Guizani, M. (2020). Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering. Science China Information Sciences, 63(3), 1-15.‏
ISSN1674733X
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85079572043&origin=inward
URIhttp://hdl.handle.net/10576/37264
AbstractThe anonymity mechanism of bitcoin is favored by the society, which promotes its usage and development. An adversary should not be able to discover the relation between bitcoin addresses and bitcoin users to ensure effective privacy. However, the relation among bitcoin transactions can be used to analyze the bitcoin privacy information, which seriously jeopardizes the bitcoin anonymity. Herein, we describe the vulnerabilities associated with the anonymity mechanism of bitcoin, including the relation among bitcoin addresses and the relation among bitcoin users. Further, we demonstrate that the existing methods do not guarantee the comprehensiveness, accuracy, and efficiency of the analysis results. We propose a heuristic clustering method to judge the relation among bitcoin addresses and employ the Louvain method to discover the relation among bitcoin users. Subsequently, we construct an address-associated database of historical transactions and implement real-time updates. Extensive experiments are used to demonstrate the comprehensiveness, accuracy, and efficiency of the proposed scheme. Specifically, the proposed scheme reveals the privacy vulnerability associated with the blockchain technology. We expect that our scheme can be applied to improve the blockchain technology.
SponsorThis work was supported by National Cryptography Development Fund (GrantNo.MMJJ20180412).
Languageen
PublisherScience in China Press
Subjectbitcoin
blockchain
cluster
privacy
transaction
TitleIdentifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering
TypeArticle
Pagination1-15
Issue Number3
Volume Number63
dc.accessType Abstract Only


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