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Detection method and device for website flow abnormity

A technology for website traffic and detection methods, applied in the computer field, can solve problems such as abnormal website traffic and low accuracy in detecting abnormal website traffic.

Active Publication Date: 2017-07-07
BEIJING GRIDSUM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a method and device for detecting abnormal website traffic, so as to at least solve the technical problem of low accuracy in detecting abnormal website traffic in the prior art

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  • Detection method and device for website flow abnormity
  • Detection method and device for website flow abnormity
  • Detection method and device for website flow abnormity

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Embodiment Construction

[0020] 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.

[0021] 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 invention discloses a detection method and a detection device for website flow abnormity. The method comprises the steps of acquiring access behavior data of accessing a plurality of websites by using a plurality of browsers within a preset time slot, thus acquiring an access behavior data set; computing a first ratio of the access behavior data of each used browser in the access behavior data set, thus acquiring a first access behavior data distribution; computing a second ratio of the access behavior data of each used browser in the access behavior data of each website in the plurality of websites, thus acquiring a plurality of second access behavior data distributions corresponding to the plurality of websites one by one; computing a similarity between each second access behavior data distribution in the plurality of second access behavior data distributions and the first access behavior data, thus acquiring the plurality of similarities corresponding to the plurality of websites one by one; and determining the target website from the plurality of websites according to the computed similarities. According to the method and the device provided by the invention, the technical problem that in related technologies, detection on the website flow abnormity is relatively low in accuracy is solved.

Description

technical field [0001] The present application relates to the field of computers, in particular, to a method and device for detecting abnormal website traffic. Background technique [0002] In the existing traffic anomaly detection methods, indicators such as the number of requests for a website address (URL), traffic, and server processing time are usually selected as indicators for analyzing website traffic anomalies. In this method, a threshold is simply set, and if the above-mentioned indicators exceed the set threshold, it is considered that the website traffic is abnormal. [0003] In the above method, the set threshold has no basis of probability and statistics, and is artificially set by the programmer, which is very random and the result is unreliable. And the indicator itself changes with time. For example, the traffic itself is different on weekdays and holidays; the traffic at nine o'clock in the evening is different from the traffic at four o'clock in the morni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1425
Inventor 祁国晟饶峰云
Owner BEIJING GRIDSUM TECH CO LTD