Bitcoin Address Clustering Method Based on Multiple Heuristic Conditions
Bitcoin Address Clustering Method Based on Multiple Heuristic Conditions
About this item
Full title
Author / Creator
He, Xi , He Ketai , Lin Shenwen , Yang, Jinglin and Mao Hongliang
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
We analyzed the associations between Bitcoin transactions and addresses to cluster address and further find groups of addresses controlled by the same entity. It revealed the vulnerabilities of Bitcoin anonymity mechanism, which could be used by the law enforcement agencies to track and crack down illegal transactions. However, single heuristic met...
Alternative Titles
Full title
Bitcoin Address Clustering Method Based on Multiple Heuristic Conditions
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2515924480
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2515924480
Other Identifiers
E-ISSN
2331-8422
