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Credit anti-fraud identification method and device based on big data, equipment and medium

A big data and credit technology, applied in the field of enterprise anti-fraud, can solve the problem of poor interception effect of fraud means

Inactive Publication Date: 2021-05-07
天元大数据信用管理有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing credit anti-fraud methods are not effective in intercepting emerging and hidden fraud methods

Method used

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  • Credit anti-fraud identification method and device based on big data, equipment and medium
  • Credit anti-fraud identification method and device based on big data, equipment and medium
  • Credit anti-fraud identification method and device based on big data, equipment and medium

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Experimental program
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Embodiment Construction

[0056] The embodiments of this specification provide a big data-based credit anti-fraud identification method, device, equipment and medium.

[0057] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments of this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0058] The rapid development of information technology has led to the emergence of new credit transaction methods. Online transactions have become a part of people's daily life, including mobile payment, online applicati...

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Abstract

The embodiment of the invention discloses a credit anti-fraud identification method and device based on big data, equipment and a medium, which are used for solving the problem that the existing anti-fraud means are poor in interception effect on newly appearing and hidden fraud means. The method comprises the following steps: establishing an enterprise database according to pre-acquired multi-party data; based on the enterprise database, extracting an enterprise anti-fraud rule set, and establishing an enterprise anti-fraud strategy library according to the enterprise anti-fraud rule set; establishing an enterprise fraud evaluation index system fusing enterprise basic attributes and enterprise equipment relation attributes for the enterprise database; based on the enterprise fraud evaluation index system, establishing an enterprise anti-fraud scoring model through a deep learning algorithm; and establishing an enterprise fraud decision engine based on the enterprise anti-fraud strategy library and the enterprise anti-fraud scoring model, and performing strategy configuration through the enterprise fraud decision engine to determine an enterprise anti-fraud strategy so as to identify an enterprise anti-fraud risk.

Description

technical field [0001] This specification relates to the technical field of enterprise anti-fraud, and in particular to a big data-based credit anti-fraud identification method, device, equipment and medium. Background technique [0002] The rapid development of information technology has led to the emergence of new credit transaction methods. Online transactions have become a part of people's daily life, including mobile payment, online application for loans, etc. The rapid update of technology has not only brought many benefits, but also promoted some new risks. Anti-fraud is one of the important links in the credit risk management and control of enterprises. Fraud methods are more diversified and fraudulent methods are becoming more advanced. Anti-fraud is also increasingly showing the trend of gang fraud and group fraud. [0003] The existing credit anti-fraud means are not effective in intercepting new and hidden fraud means. [0004] Based on this, there is a need fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/02G06Q30/00G06Q10/06G06F16/25G06F16/36G06F16/215G06N3/04G06N3/08
CPCG06Q30/0185G06Q10/06393G06F16/367G06F16/25G06F16/215G06N3/04G06N3/08G06Q40/03
Inventor 边松华崔乐乐尹盼盼
Owner 天元大数据信用管理有限公司
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