Anti-fraud detection method and system based on graph analysis

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 ...

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 based on graph analysis is provided, which can realize efficient mining. The data characteristics hidden behind the multi-layer relationship can accurately locate the core members who commit fraud, and can realize visual analysis in the form of graphs

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