The invention relates to the technical field of cross-border
payment, and discloses a cross-border
payment transaction
risk control method based on a block chain, and the method comprises the following steps: constructing a
federated learning model, deploying a local training node by a participation mechanism, transmitting gradient parameters through 256-bit
homomorphic encryption, and avoiding the cross-border transmission of
original data; constructing a customized circuit based on Li bsnk, and verifying the validity of gradient parameters and the legality of identities of participants; constructing an account-transaction-IP three-dimensional map, updating node association weights in real time, identifying a fund loop by adopting a GraphSAGE
algorithm, and detecting space-time anomalies in combination with an LOF
algorithm; the federal learning model outputs a real-time risk
score, and the real-time risk
score is fused with an atlas analysis result to realize
millisecond risk interception; and block chain evidence storage. According to the method, through a
federated learning model (FedProx
algorithm) and 256-bit
homomorphic encryption, safe aggregation of gradient parameters is realized, the problem of data islands is solved, compliance risks of
original data cross-border transmission are avoided, and a cross-
machine data system is realized.