Anti-fraud detection method and system based on graph analysis

A detection method and relationship technology, which are applied in the field of anti-fraud detection methods and detection systems based on graph analysis, and can solve problems such as unstable data feature model structure.

Pending Publication Date: 2020-05-05
SHANGHAI GUAN AN INFORMATION TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the technical problems in the existing technology that the data characteristics in the deep-level relationship cannot be mined and the model structure obtained by it is unstable, an anti-fraud detection method and detection system...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anti-fraud detection method and system based on graph analysis
  • Anti-fraud detection method and system based on graph analysis
  • Anti-fraud detection method and system based on graph analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0130] Corresponding to Embodiment 1 of the present invention, this embodiment of the present invention also provides an anti-fraud detection system based on graph analysis.

[0131] Figure 5 A schematic structural diagram of an anti-fraud detection system based on graph analysis provided by an embodiment of the present invention, as shown in Figure 5 As shown, the system includes:

[0132] The construction module 501 is configured to construct a relationship graph corresponding to users in the communication data based on the communication data provided by the communication operator including the communication data of the victim, wherein the relationship graph is composed of nodes connected by edges, Wherein, the node includes: one or a combination of numbers, equipment, time, age, address, and package corresponding to the victim user and the non-victim user respectively;

[0133] The training module 502 is used to obtain the characteristics of the victim user from the rel...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides an anti-fraud detection method and system based on graph analysis, and the method comprises the steps: 1), building a relation graph corresponding to a user incommunication data based on the communication data which is provided by a communication operator and comprises victim communication data; 2) obtaining victim user characteristics from the relation graph, training a random forest classification model by utilizing the victim user characteristics, and then identifying whether a user to be identified is a victim result by utilizing the trained randomforest classification model; 3) shrinking other nodes except the number nodes in the relation graph into corresponding edges or nodes to obtain a target relation graph; and 4) obtaining the number node having the largest influence on other number nodes in each sub-connected graph in the target relation graph, and taking the user corresponding to the number node having the largest influence on other number nodes as a fraud criminal. By applying the embodiment of the invention, the fraud criminal can be identified.

Description

technical field [0001] The invention relates to the technical field of telecommunications fraud prevention, in particular to an anti-fraud detection method and detection system based on graph analysis. Background technique [0002] In the context of the mobile Internet era, with the rapid development of communication technology, some lawbreakers deliberately use fraudulent methods to gain their own interests in the process of using operator services, seriously endangering the property safety of the people, and at the same time causing serious damage to operators. has had a huge impact on business development. Since such cases are not restricted by time and region, it is difficult and costly to solve them, resulting in high numbers of telecom fraud cases. Therefore, timely and accurate detection of telecommunications fraud plays an important role in the security and stability of society. [0003] At present, the commonly used method in telecommunications fraud detection is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/36G06K9/62
CPCG06F16/367G06F18/24323G06F18/214
Inventor 徐明梁淑云刘胜马影陶景龙王启凡魏国富殷钱安余贤喆周晓勇
Owner SHANGHAI GUAN AN INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap