Self-adaptive anti-crawling method and system based on abnormal behavior detection

An adaptive and abnormal technology, applied in the field of Internet monitoring, it can solve the problems of server crash, occupation of server resources, and information theft of service providers, and achieve the effect of rapid update, guaranteeing access behavior, and improving accuracy.

Active Publication Date: 2020-04-24
XIAMEN MEIYA PICO INFORMATION
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, some malicious crawlers will be used to swipe clicks to obtain high profits; or occupy server resources through malicious crawlers, affect the access speed of normal users, and even

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  • Self-adaptive anti-crawling method and system based on abnormal behavior detection
  • Self-adaptive anti-crawling method and system based on abnormal behavior detection
  • Self-adaptive anti-crawling method and system based on abnormal behavior detection

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Embodiment Construction

[0032] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0033] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0034] figure 1 An exemplary system architecture 100 to which the abnormal behavior detection-based adaptive anti-crawling method according to the embodiment of the present application can be applied is shown.

[0035] Such as figure 1 As shown, the system architecture 100...

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Abstract

The invention discloses a self-adaptive anti-crawling method and system based on abnormal behavior detection. The method specifically comprises the steps that S1, conducting abnormal judgment on an IPaddress, the access frequency, the access time and the access history of a user; S2, performing risk level classification on the user through abnormality judgment, performing verification detection on the low-risk user through question asking, slider verification and verification code verification, and detecting the high-risk users through fine-grained risk detection; and S3, performing countering operation on the user who is abnormal for many times in verification detection and risk detection. Rapid updating of the anti-crawling system is achieved through a user abnormal behavior self-adaptive detection mechanism, the accuracy of web crawler recognition is improved, and the access behavior of a normal user is guaranteed.

Description

technical field [0001] This application relates to the field of Internet monitoring, in particular to an adaptive anti-crawling method and system based on abnormal behavior detection. Background technique [0002] With the rapid development of the mobile Internet, various companies will upload massive amounts of information data through the Internet, and these data exist on the Internet in the form of web page data or mobile APP services, which are convenient for every user to access. But at the same time, the data of these companies needs to be protected from malicious crawlers at all times. For example, some malicious crawlers will be used to swipe clicks to obtain high profits; or occupy server resources through malicious crawlers, affect the access speed of normal users, and even cause the server of the service provider to directly crash; or conduct information theft through malicious crawlers , Seriously affecting the enthusiasm of the original service providers and cr...

Claims

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/1425H04L63/1441Y02D30/50
Inventor 鲍建伟南江张磊黄剑畅斌张辉极
Owner XIAMEN MEIYA PICO INFORMATION
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