Bitcoin address clustering method based on multiple heuristic conditions
Abstract Single heuristic method and incomplete heuristic conditions were difficult to cluster a large number of addresses comprehensively and accurately. Therefore, this paper analysed the associations between Bitcoin transactions and addresses and used six heuristic conditions to cluster addresses...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | IET Blockchain |
| Online Access: | https://doi.org/10.1049/blc2.12014 |
| _version_ | 1828314777607208960 |
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| author | Xi He Ketai He Shenwen Lin Jinglin Yang Hongliang Mao |
| author_facet | Xi He Ketai He Shenwen Lin Jinglin Yang Hongliang Mao |
| author_sort | Xi He |
| collection | DOAJ |
| description | Abstract Single heuristic method and incomplete heuristic conditions were difficult to cluster a large number of addresses comprehensively and accurately. Therefore, this paper analysed the associations between Bitcoin transactions and addresses and used six heuristic conditions to cluster addresses and entities. We proposed an improved change address detection algorithm and compared it with the original change address algorithm to prove the effectiveness of the improved algorithm. By adding conditional constraints, the identified change address was more accurate, and the convergence speed of the algorithm was accelerated. Our work presented the pseudo‐anonymity mechanism of the Bitcoin system, which could be used by the law enforcement agencies to track and crack down illegal transactions. |
| first_indexed | 2024-04-13T16:50:58Z |
| format | Article |
| id | doaj.art-268e8eab4f434fabb7a57f8edb4e60fc |
| institution | Directory Open Access Journal |
| issn | 2634-1573 |
| language | English |
| last_indexed | 2024-04-13T16:50:58Z |
| publishDate | 2022-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Blockchain |
| spelling | doaj.art-268e8eab4f434fabb7a57f8edb4e60fc2022-12-22T02:38:57ZengWileyIET Blockchain2634-15732022-06-0122445610.1049/blc2.12014Bitcoin address clustering method based on multiple heuristic conditionsXi He0Ketai He1Shenwen Lin2Jinglin Yang3Hongliang Mao4School of Mechanical Engineering University of Science and Technology Beijing Beijing ChinaSchool of Mechanical Engineering University of Science and Technology Beijing Beijing ChinaInternet Financial Security Technology Key Laboratory National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing ChinaInternet Financial Security Technology Key Laboratory National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing ChinaInternet Financial Security Technology Key Laboratory National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing ChinaAbstract Single heuristic method and incomplete heuristic conditions were difficult to cluster a large number of addresses comprehensively and accurately. Therefore, this paper analysed the associations between Bitcoin transactions and addresses and used six heuristic conditions to cluster addresses and entities. We proposed an improved change address detection algorithm and compared it with the original change address algorithm to prove the effectiveness of the improved algorithm. By adding conditional constraints, the identified change address was more accurate, and the convergence speed of the algorithm was accelerated. Our work presented the pseudo‐anonymity mechanism of the Bitcoin system, which could be used by the law enforcement agencies to track and crack down illegal transactions.https://doi.org/10.1049/blc2.12014 |
| spellingShingle | Xi He Ketai He Shenwen Lin Jinglin Yang Hongliang Mao Bitcoin address clustering method based on multiple heuristic conditions IET Blockchain |
| title | Bitcoin address clustering method based on multiple heuristic conditions |
| title_full | Bitcoin address clustering method based on multiple heuristic conditions |
| title_fullStr | Bitcoin address clustering method based on multiple heuristic conditions |
| title_full_unstemmed | Bitcoin address clustering method based on multiple heuristic conditions |
| title_short | Bitcoin address clustering method based on multiple heuristic conditions |
| title_sort | bitcoin address clustering method based on multiple heuristic conditions |
| url | https://doi.org/10.1049/blc2.12014 |
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