Fraudulent user identification method, fraudulent user identification device and electronic equipment

Abstract

The invention provides a fraudulent user identification method, a fraudulent user identification device and electronic equipment. The method comprises the steps of obtaining historical user data, historical transaction data and fraud data, and constructing a user fraud network graph; based on the user fraud network graph, extracting and screening model characteristic variables; subdividing the user group according to a preset strategy, and establishing a training data set and a verification data set based on a subdivision result of the user group and the screened model characteristic variables; establishing a plurality of segmented transaction fraud evaluation models, and training the transaction fraud evaluation models by using the training data set; obtaining user data and transaction data of a current user, and calculating a fraud evaluation value of the current user by using the corresponding transaction fraud evaluation model; and identifying whether the user is a fraudulent userbased on the fraudulent evaluation value of the user. According to the method, fraudulent clients can be identified more accurately, the fraudulent probability identification accuracy is effectively improved, and the model prediction precision is improved.

Description

technical field [0001] The invention relates to the field of computer information processing, in particular to a fraudulent user identification method, device and electronic equipment. Background technique [0002] Risk control (referred to as risk control) means that risk managers take various measures and methods to eliminate or reduce the various possibilities of risk cases, or risk controllers reduce the losses caused by risk cases. Risk control is generally used in the financial industry, such as risk control for company transactions, business transactions or personal transactions. [0003] In the context of expanding business scale, diversification of fraud methods, and rising labor costs, existing fraud prevention methods tend to refine the anti-fraud management model, and establish intelligent anti-fraud management based on the fraud scoring model, forming a quantitative A business model combining analytical and qualitative analysis is imperative. Furthermore, ther...

AI Technical Summary

Problems solved by technology

In addition, there is still much room for improvement in fraud risk analysis from a user perspective

Images