BLOCKCHAIN ADDRESS CLASSIFICATION METHOD AND APPARATUS

    公开(公告)号:EP4293534A1

    公开(公告)日:2023-12-20

    申请号:EP22752346.1

    申请日:2022-02-10

    IPC分类号: G06F16/27 G06K9/62

    摘要: The present disclosure relates to the technical field of computers, in particular to a method and apparatus for classifying a blockchain address. The method includes: transaction vectors are generated for transaction records corresponding to each blockchain address in a blockchain address set; a corresponding address vector is generated based on the transaction vectors corresponding to a blockchain address to be classified; and the address vector of the blockchain address to be classified is input into a classifier, so as to determine a class of the blockchain address to be classified. By means of the method, equal-length vectors representing the blockchain addresses can be obtained for classification by the classifier, transaction behaviors and association relationships of participating entities in a blockchain are effectively expressed. At the same time, the problem that feature engineering in traditional machine learning is prone to being affected by the external environment is also avoided, the classification accuracy is high, and a result is reliable; and the defects of error propagation, insufficient algorithm generalization, high requirements for hardware resources and time costs, etc. in existing methods are also overcome.

    BLOCKCHAIN ADDRESS CLASSIFICATION METHOD AND APPARATUS

    公开(公告)号:EP4332791A1

    公开(公告)日:2024-03-06

    申请号:EP22794862.7

    申请日:2022-04-25

    IPC分类号: G06F16/906

    摘要: The present disclosure relates to the technical field of computers. Disclosed are a method and apparatus for classifying a blockchain address. A specific implementation of the method includes: acquiring blockchain transaction information, where the blockchain transaction information indicates one or more transaction input addresses and one or more transaction output addresses; constructing a transaction bipartite graph corresponding to the blockchain transaction information; obtaining, according to the transaction bipartite graph and a graph embedding algorithm, address vectors respectively corresponding to the one or more transaction input addresses and the one or more transaction output addresses; and using the address vectors as inputs of an address classifier, so as to classify the one or more transaction input addresses and/or the one or more transaction output addresses by the address classifier. By means of the implementation, the accuracy of blockchain address classification is improved.