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A group fraud identification system based on knowledge map

A technology of identification system and knowledge map, applied in the field of group fraud identification system, can solve problems such as stay and deep mining of gang cases without in-depth research, and achieve the effect of improving effectiveness and avoiding damage

Inactive Publication Date: 2019-01-11
重庆富民银行股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the field of Internet finance, the application of knowledge graphs is mainly limited to the identification of one-degree relationships, and there is no in-depth research on the in-depth mining of gang cases and the identification of multi-degree relationships

Method used

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  • A group fraud identification system based on knowledge map
  • A group fraud identification system based on knowledge map

Examples

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Embodiment 1

[0026] Such as figure 1 As shown, a group fraud identification system based on knowledge graph in this embodiment includes an information collection module, an abnormal analysis module, an association analysis module, a group identification module, a display module, a display setting module, and a survey mining module, wherein:

[0027] The information collection module is used to collect personal information of borrowers. Personal information includes basic information, behavior information and third-party data. Basic information includes structured data, semi-structured data and unstructured data. Structured data includes customer ID numbers , basic data such as device fingerprints, mobile phone numbers, home addresses, residential addresses, and contact information, as well as bank account and loan data, etc.;

[0028] Semi-structured data includes customer communication information, customer online banking information, customer social security information, customer provide...

Embodiment 2

[0046] The difference between this embodiment and Embodiment 1 is that the information collection module in this embodiment also includes a contact verification module, and the contact verification module is used to send a verification message to the corresponding contact when the user fills in the contact information. The contact verification module is also used to obtain the location information of the corresponding contact through a third-party interface, and the contact verification module is used to compare the location information of the borrower with the location information of the contact, and determine whether the borrower is related to the corresponding contact. Whether the distance is less than the preset value, which is 10 meters in this embodiment, and the contact verification module is used to determine that the contact is invalid after detecting that the distance between the borrower and the corresponding contact has been less than 10 meters in the last three days...

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Abstract

The invention relates to the technical field of loan risk prevention and control system, in particular to a group fraud identification system based on a knowledge map, which includes an information collection module, an abnormality analysis module, an association analysis module, a group identification module, a display module, a display setting module and a survey and digging module. The information collection module is used for collecting personal information of the borrower. The abnormality analysis module is used for detecting and analyzing abnormal behavior or abnormal data of the borrower, and the association analysis module is used for analyzing the association relationship between the suspected fraudulent user and other borrowers or third-party blacklisted persons. The group identification module is used for finding other suspected fraudulent users related to the suspected fraudulent users according to the association relationship and forming a suspected fraudulent group for the case investigator to judge. The invention provides a group fraud identification system based on a knowledge map, which can identify and evaluate the groups among borrowers, find out the groups thatmay have fraud risk, and reduce unnecessary losses of banks.

Description

technical field [0001] The invention relates to the technical field of loan risk prevention and control systems, in particular to a group fraud identification system based on knowledge graphs. Background technique [0002] The essence of a knowledge graph is a semantic network, a graph-based data structure consisting of nodes and edges. In the knowledge graph, each node represents an "entity" in the real world, and each edge represents the relationship between entities. The knowledge graph is the most effective way to describe the relationship. In layman's terms, a knowledge map is a relational network obtained by connecting all different types of information together. The knowledge map provides the ability to analyze problems from the perspective of "relationship". [0003] At present, in the field of Internet finance, risk prevention and control is mainly used to verify the authenticity of customer information provided by customers when applying for loans, and mainly sta...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06F16/36
CPCG06Q40/03
Inventor 许晓明甘罗佳
Owner 重庆富民银行股份有限公司
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