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Label propagation anti-fraud detection method and system based on enterprise relation map

A label dissemination and detection method technology, applied in the field of financial credit, to achieve the effect of strong theoretical foundation and rich applicable scenarios

Active Publication Date: 2019-09-10
浪潮卓数大数据产业发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical task of the present invention is to provide a label propagation anti-fraud detection method and system based on the enterprise relationship graph to solve how to effectively analyze complex network data to find valuable information and further mine the fraud risks reflected in complex network relationships The problem

Method used

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  • Label propagation anti-fraud detection method and system based on enterprise relation map
  • Label propagation anti-fraud detection method and system based on enterprise relation map
  • Label propagation anti-fraud detection method and system based on enterprise relation map

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Embodiment 1

[0068] The label propagation anti-fraud detection method based on the enterprise relationship graph of the present invention comprises the following steps:

[0069] S1. Establish an enterprise blacklist database: data collection technology collects original network data, which is stored in a relational database, and screens the tables and fields that can be included in the anti-fraud blacklist database in the relational database and extracts relevant data, Integrate and de-duplicate preprocessing to establish an enterprise anti-fraud blacklist database; the specific steps are as follows:

[0070] S101. Data collection and storage: Based on data collection technology, collect data covering enterprise information, blacklist information, and dishonest enterprise information across the country, and store the collected data in a relational database; enterprise information includes enterprise name, social credit code and list blacklist time.

[0071] S102. Screening objects in the ...

Embodiment 2

[0100] The label propagation anti-fraud detection system based on the enterprise relationship graph of the present invention, the system includes,

[0101] The enterprise blacklist database establishment unit is used to establish the enterprise anti-fraud blacklist database through extraction, fusion and de-duplication preprocessing of the original network data collected through data collection technology;

[0102] The relational graph construction unit is used to extract the relational database object entity and entity relationship to construct the relational graph by screening the relevant tables and fields of the relational graph in the relational database;

[0103] The anti-fraud detection unit is used to detect the anti-fraud of the enterprise based on the self-built blacklist database and the enterprise relationship graph, and estimate the probability of the enterprise's anti-fraud.

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Abstract

The invention discloses a label propagation anti-fraud detection method and system based on an enterprise relation map, belongs to the field of financial credit, and aims to solve the technical problem of how to effectively analyze complex network data to discover valuable information and further mine fraud risks embodied by complex network relations, and the method comprises the following steps of: s1, establishing an enterprise blacklist library; s2, constructing a relational graph: screening related tables and fields listed in the relational graph in a relational database, and extracting arelational database object entity and an entity relationship; and S3, performing anti-fraud detection on the enterprise based on the self-built blacklist library and the enterprise relationship graph:based on blacklist library identification relationship graph blacklist nodes, extracting blacklist node connection subgraphs, identifying fraud enterprise nodes in the connection subgraphs by applying a label propagation algorithm, and estimating the enterprise anti-fraud probability. The system comprises an enterprise blacklist library establishment unit, a relation graph construction unit and an anti-fraud detection unit.

Description

technical field [0001] The invention relates to the field of financial credit, in particular to a tag propagation anti-fraud detection method and system based on an enterprise relationship graph. Background technique [0002] In the current market environment of inclusive finance, the risk of online fraud changes very frequently. In the past, a single individual fraud has rapidly evolved into an organized and large-scale group fraud and corresponding associated risks. However, traditional anti-fraud methods, including identity verification, customer information logic verification, external information comparison verification, blacklist filtering, etc., are mainly used to identify individual risks, and cannot tap potential group frauds based on inextricably linked relationships. A network-based global risk identification capability is required to cover this part of the risk loopholes. Due to the intricate relationship of many large enterprises, the traditional graphic moneti...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06F16/28G06F16/23G06F16/36G06F16/2458
CPCG06F16/284G06F16/23G06F16/367G06F16/2465G06Q40/03
Inventor 尹盼盼崔乐乐郭宏毅
Owner 浪潮卓数大数据产业发展有限公司
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