Fingerprinting Bitcoin entities using money flow representation learning
Abstract Deanonymization is one of the major research challenges in the Bitcoin blockchain, as entities are pseudonymous and cannot be identified from the on-chain data. Various approaches exist to identify multiple addresses of the same entity, i.e., address clustering. But it is known that these a...
| 出版年: | Applied Network Science |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
SpringerOpen
2023-09-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s41109-023-00591-2 |