Abnormal behavior recognition and risk model library establishment method and device and electronic equipment

Abstract

The embodiment of the invention discloses an abnormal behavior recognition and risk model library establishment method and device and electronic equipment, and is used for solving the problem that an existing abnormal behavior recognition method is not accurate enough. The method comprises the following steps: collecting multiple groups of abnormal behavior feature data of a risk scene and corresponding abnormal classification tags; discretizing the multiple groups of abnormal behavior feature data to obtain risk feature values corresponding to multiple parts of abnormal behavior feature data in the multiple groups of abnormal behavior feature data; carrying out attribute reduction on risk feature categories corresponding to a plurality of abnormal behavior feature data in the plurality of groups of abnormal behavior feature data; and establishing a risk model library based on a relationship among the risk feature category set after attribute reduction, the risk feature values and the corresponding abnormal classification tags.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of wireless communication, and in particular to a method, device and electronic equipment for abnormal behavior identification and establishment of a risk model library. Background technique [0002] With the development of the Internet of Things, there are also some security issues hidden in the behavior of the Internet of Things card, such as phone fraud, traffic theft, and fleece. In response to these problems, the following methods are proposed in the prior art: the first method proposes an attribute reduction method based on a big data platform, and at the same time builds a mobile user behavior pattern analysis platform based on the Hadoop open source platform; the second method, Introduce rough set theory to preprocess customer basic information, and take core customer off-grid early warning model as an example, give variable precision rough set attribute reduction algorithm,...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, and electronic equipment for abnormal behavior identification and risk model library establishment, which are used to solve the problem that existing abnormal behavior identification methods are not accurate enough

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