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Network fraud identification method and system based on knowledge graph

A technology of knowledge graph and identification method, applied in the field of network fraud identification method and system based on knowledge graph, can solve problems such as low efficiency and low identification accuracy, and achieve the effect of reducing the incidence of cases and improving the efficiency of detection.

Pending Publication Date: 2021-11-12
武汉众智数字技术有限公司
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the technical problem of low accuracy and low efficiency in the identification of traditional network fraud gangs

Method used

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  • Network fraud identification method and system based on knowledge graph
  • Network fraud identification method and system based on knowledge graph
  • Network fraud identification method and system based on knowledge graph

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] In describing the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", The orientations or positional relationships indicated by "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than in...

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Abstract

The invention belongs to the technical field of knowledge graph application, and particularly provides a network fraud identification method and system based on a knowledge graph, and the method comprises the steps: constructing a mode layer of a network fraud knowledge graph from top to bottom; loading data to the data layer of the network fraud knowledge graph; based on the constructed network fraud knowledge graph, fusing a third-party knowledge base in a data layer, and expanding the data volume of the data layer of the network fraud knowledge graph; discretizing and normalizing attribute frequency values of key behavior relationships in the network fraud knowledge graph, and converting the attribute frequency values into weight values of graph edges; and based on a network fraud case graph, by utilizing a spark graphics graph and an LPA algorithm, identifying a criminal gang, and then by utilizing a PageRank algorithm, identifying core members in the gang. The network fraud case and the criminal gang can be effectively organized through entities, relationships and attributes by using the strong relevance of the knowledge graph. The case detection efficiency is improved, and the occurrence rate of network fraud cases is reduced.

Description

technical field [0001] The invention belongs to the technical field of knowledge graph application, and in particular relates to a knowledge graph-based network fraud identification method and system. Background technique [0002] With the development of network communication technology, social software (WeChat, QQ, Douyin, etc.), shopping software, and mobile payment applications have been widely used by people. The spread of criminal activities is large, the development is rapid, and it can be released to a wide range in a very short period of time, with a large area of ​​infringement and a wide range of losses. Among them, gang crimes have evolved into a mutually cooperative and independent industrial chain, generally using remote, non-contact fraud to defraud victims of public and private finances. Criminal gangs are well-organized, adopt corporate operations, have a detailed division of labor, and diversify fraud methods, making it more difficult to solve cases. [00...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/9536G06F40/295G06Q50/00G06Q50/26
CPCG06F16/367G06F16/9536G06F40/295G06Q50/01G06Q50/26
Inventor 杨玲贺珊杨光张龙涛
Owner 武汉众智数字技术有限公司
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