Big data transaction risk control method and system

Fecha de publicación: 09/02/2024
Fuente: Wipo "BigData"
The invention provides a big data transaction risk control method and system in the technical field of big data transaction, and the method comprises the steps: S10, a seller client puts transaction information on a server, a buyer client purchases a data sample through the transaction information putted on the server, carries out a fusion test, then purchases corresponding big data, and carries out the fusion test; big data transaction is carried out; step S20, in a big data transaction process, storing the generated transaction data into a non-relational database, and backing up the transaction data stored in the non-relational database into a relational database; step S30, the server creates a risk control model based on the neural network, and obtains a large amount of historical transaction data from the relational database to train the risk control model; s40, the server inputs real-time transaction data into the trained risk control model to obtain a risk assessment report; and S50, the server executes risk control based on the risk assessment report. The method has the advantage that the big data transaction risk is greatly reduced.