Abnormal behavior identification method, device and electronic equipment
A recognition method and behavior technology, which is applied in the direction of safety communication devices, electrical components, digital transmission systems, etc., can solve the problem of inaccurate identification of abnormal behaviors, and achieve the effect of accurate interception and improvement of accuracy
Active Publication Date: 2022-04-22
BEIJING QIYI CENTURY SCI & TECH CO LTD
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Problems solved by technology
[0003] The purpose of the embodiments of the present invention is to provide an abnormal behavior identification method, device and electronic equipment to solve the problem of inaccurate identification of abnormal behavior by existing security protection methods
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[0130] As an implementation of the embodiment of the present invention, the sample set includes the behavior characteristics of the behavior of accessing the first type of business, and the behavior characteristics of the behavior of accessing the second type of business;
[0131] The first type of service is a pre-service of the second type of service;
[0132] The service to be identified is the first type of service or the second type of service.
[0133] As an implementation manner of the embodiment of the present invention, the following steps are used to create a black sample set, including:
[0134] Based on the behavior characteristics of multiple unknown behaviors, use a pre-established behavior recognition model to identify abnormal behaviors from the behavior characteristics of the multiple unknown behaviors. ;
[0135] Create a black sample set that includes behavioral characteristics of identified abnormal behaviors and behavioral characteristics of known abnorm...
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Embodiments of the present invention provide a method, device, and electronic device for identifying abnormal behaviors, including: acquiring behavior information of behaviors to be identified that access services to be identified; based on the behavior information, generating behavior characteristics of the behaviors to be identified; The behavioral features are input into a pre-trained supervised machine learning model to obtain a recognition result indicating whether the behavior to be recognized is abnormal. The supervised machine learning model is trained based on a sample set, and the sample set includes a black sample set and a white sample. The black sample set includes the behavior characteristics of known abnormal behavior, and the white sample set includes the behavior characteristics of known normal behavior. By establishing a supervised machine learning model, the present invention can improve the accuracy of identifying abnormal access behaviors and accurately intercept abnormal access behaviors.
Description
technical field [0001] The invention relates to the technical field of network security protection, in particular to an abnormal behavior identification method, device and electronic equipment. Background technique [0002] With the advent of the global information age, the application field of Internet technology continues to expand, and Internet engineering begins to involve all aspects of social development. Naturally, certain network security protection methods are needed to ensure network security. The most important technical means in the current Internet field is the method of joint defense and joint control. The implementation principle of this method is to put abnormal users or abnormal devices identified by other services into a blacklist, which we call security portraits here, and then block them in the target business based on this security portrait. However, this joint defense and joint control method can only intercept abnormal services based on security portr...
Claims
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IPC IPC(8): H04L9/40
CPCH04L63/1416H04L63/1425
Inventor 补彬
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD