| Popis: |
Traditional anti-anonymity technologies for Bitcoin transactions include two types. One is network-layer anti-anonymity technology, which achieves the purpose of locating the initial IP of specific transaction information by speculating on the IP propagation path of transaction; the other is the anti-anonymity technology of the transaction layer. By analyzing the data of the Bitcoin ledger, it realizes the on-chain behavior portrait of a specific wallet address attributable to the user. In this work, we propose a new anti-anonymity technology, by constructing transaction behavior vectors and social behavior vectors based on Bitcoin ledger data and off-chain social data respectively, and build a model for mapping and aligning the two vectors. Experimental test shows that the proposed anti-anonymity technology is more accurate and has better practical effects. Furthermore, the technology suits for the anti-anonymity of other virtual currencies as well. |
