Abnormal traffic detection method and device, electronic equipment and storage medium

A technology for abnormal traffic and network traffic, which is applied in the field of data processing and can solve the problems of inability to effectively identify abnormal traffic and poor generalization of abnormal traffic.

Active Publication Date: 2021-11-23
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present application provides a method and device for detecting abnormal traffic, a storage medium and electronic equipment, so as to at least solve the problems in related technologies that abnormal traffic cannot be effectively identified and the generalization of abnormal traffic detection is poor

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  • Abnormal traffic detection method and device, electronic equipment and storage medium
  • Abnormal traffic detection method and device, electronic equipment and storage medium
  • Abnormal traffic detection method and device, electronic equipment and storage medium

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Embodiment Construction

[0023]In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0024] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such ...

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Abstract

The present application provides a method and device for detecting abnormal traffic, a storage medium, and an electronic device, wherein the method includes: obtaining network traffic generated by a mobile terminal in a terminal set accessing a target web page in a web page set; Any one of the IP address and the webpage IP address of the target webpage, sort the access records of all network traffic according to the access time, and obtain multiple record sequences, among which, one record sequence contains the same terminal IP address according to the access time multiple access records, or multiple access records under the same web page IP address; by analyzing the time series data characteristics of multiple record sequences, the target record sequence in the multiple record sequences is determined, and the target record sequence is accessed Record the corresponding network traffic as abnormal traffic. Through the present application, the problem of poor generalization of abnormal traffic detection in the related art is solved.

Description

technical field [0001] The present application relates to the field of data processing, and in particular to a method and device for detecting abnormal traffic, electronic equipment and storage media. Background technique [0002] With the continuous development and popularization of mobile applications, mobile advertising plays a vital role in online advertising. In mobile advertising, mobile advertising abnormalities caused by exposure, clicks or other behaviors have become a chronic disease of marketing advertising, not only It has caused huge economic losses for advertisers, and seriously affected the image and delivery quality of the advertising platform. This issue has attracted the attention of many scholars and companies. [0003] In order to combat the increasingly serious advertising abnormal behavior, some abnormal traffic detection methods based on machine learning have been proposed in the existing technology, but these detection methods are mostly supervised an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L29/08
CPCH04L63/1416H04L63/1425H04L67/02
Inventor 杨康王硕王同乐李霞
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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