Method, apparatus, apparatus and computer-readable storage medium for judging fraudulent behavior

Abstract

The invention discloses a judging method, a device, a device and a computer-readable storage medium for fraudulent behavior. The method comprises the following steps: reading fraudulent data in a preset anti-fraudulent platform, classifying and screening the fraudulent data to generate various types of fraudulent sample data; The data of each fraud sample is transmitted to the preset learning model to form a plurality of fraud models. When the operation behavior of the user account is detected, the operation data is generated and a target fraud model corresponding to the operation data is determined. The operation data is transferred to the target fraud model, and whether the operation behavior is fraud or not is judged according to the similarity between the target fraud data and the operation data in the target fraud model. Because the fraud sample data comes from the fraud data of the preset anti-fraud platform, the target fraud model generated based on machine learning can judge the fraud behavior more accurately. At that same time, the fraud model can be update with the fraud data to avoid artificial setting and facilitate the judgment of new fraud behavior.

Description

technical field [0001] The present invention mainly relates to the technical field of risk control of financial institutions, and in particular, relates to a method, device, equipment, and computer-readable storage medium for judging fraudulent behavior. Background technique [0002] During the operation of financial institutions, risk control such as money laundering and fraud is required to ensure the interests of users in financial institutions. At present, for fraudulent behavior, it is usually judged by the relevant data set artificially. However, due to the large changes involved in the real-time fraudulent behavior data, there is a large difference between the set relevant data and the actual fraudulent data, which makes the judgment exist. errors; and the set relevant data need to be maintained and adjusted manually, which makes it impossible to timely and accurately identify new fraudulent behavior data and increases labor costs. Contents of the invention [0003...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a method, device, equipment, and computer-readable storage medium for judging fraudulent behavior, aiming to solve the inaccurate judgment of fraudulent behavior data through artificially setting data in the prior art, and increase labor costs The problem

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