Anti-fraud risk control method and device

Abstract

The embodiment of the invention provides an anti-fraud risk control method and device. The method comprises the steps of collecting user and enterprise information data, including obtaining user information and enterprise information input by a user, identifying information in a certificate image uploaded by the user in an OCR mode, obtaining the enterprise information data from a business platform of an enterprise, and obtaining the enterprise information data on an alliance chain through a preset interface; verifying user information in the user and enterprise information data; after the user information passes the verification, verifying the enterprise information in the user and enterprise information data; and after the enterprise information passes the verification, based on the userand enterprise information data, performing real-control person anti-fraud risk assessment, legal person anti-fraud risk assessment and enterprise anti-fraud risk assessment in a trusted execution environment established by the SGX multi-party security computing server. According to the embodiment of the invention, the data source is perfected, the authenticity and security of the data can be ensured, and the accuracy of anti-fraud risk control is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an anti-fraud risk control method and device. Background technique [0002] With the rapid development of information technology, Internet finance has been integrated into daily life, bringing great convenience to people. However, data islands, false data, and information leakage also follow. In order not to damage the interests of users, it is necessary to improve the financial risk control system. Anti-fraud is a part of the risk control system. [0003] The existing anti-fraud risk control platform includes three parts: information extraction, information display and information verification. Information extraction is generally composed of voice signal extraction technology, optical character recognition technology, crawler and semantic analysis. Information display is based on the visualization of the extracted information. Information verification mainly uses logi...

AI Technical Summary

Problems solved by technology

[0004] However, the data source of the existing anti-fraud risk control platform is not reliable, there is a risk of being tampered with, and the way to obtain data is single, which cannot guarantee the security of data transmission and calculation. When the amount of data is too large, The use of logical judgments requires a large amount of calculations, which affects efficiency

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