Power system risk control model construction and application method based on user behavior information

Abstract

The invention discloses a power system risk control model construction method based on user behavior information. The method comprises the following steps: establishing a user behavior information database by collecting user behavior information of a user and an abnormal user, preprocessing the user behavior information data, packaging the user behavior information data into a one-dimensional feature vector, collecting a group of vectors used for describing user portrait data, calibrating a data label for the user portrait data, and establishing a neural network model; inputting user portrait data with a data label into a to-be-trained neural network model, training a neural network, storing a neural network risk control model, collecting user behavior information data in real time, and inputting the user behavior information data into the stored neural network risk control model to predict a user behavior risk coefficient; and when the user behavior risk coefficient exceeds the preset threshold value, generating a system alarm and sending an early warning notification to the power system, so that the time consumed by re-processing in the model operation process is reduced, and the neural network training efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of information security and risk control, in particular to a construction and application method of a power system risk control model based on user behavior information. Background technique [0002] With the rapid development of cloud computing, big data, artificial intelligence and other emerging technologies, the world has ushered in the digital age. Thanks to the rapid development of financial technology, financial service models relying on the Internet are constantly emerging, and at the same time, they have brought more business risks: false applications, overdue loans, dishonesty and arrears, etc. , Account theft, card theft, and cash-out money laundering occur frequently, seriously endangering the healthy development of business. While the online power system brings people the convenience of recharging electricity bills without leaving home, it also has security risks such as account theft a...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a power system wind control model construction and application method based on user behavior information, so as to solve the problem that the existing power system wind control model does not achieve standardized management of user data, the evaluation time is long, the running speed is slow and The problem of low accuracy

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