Human-machine recognition method of CAPTCHA

A technology of man-machine identification and verification code, which is applied in the field of man-machine identification of slider verification code, can solve the problem of lack of identification of whether the user is a normal user or an abnormal user, so as to increase reliability and accuracy and improve the speed of prediction Effect

Inactive Publication Date: 2018-09-04
ZHONGAN INFORMATION TECH SERVICES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the technical problem of lacking an accurate and robust model in the prior art mentioned above to identify whether a user is a normal user or an abnormal user, the present invention proposes a method for human-computer identification using a machine learning model

Method used

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  • Human-machine recognition method of CAPTCHA
  • Human-machine recognition method of CAPTCHA
  • Human-machine recognition method of CAPTCHA

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Embodiment Construction

[0015] The technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of an embodiment of the present invention. The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0016] The invention proposes a human-machine identification method of a verification code, and can establish an accurate and robust user identification model in the verification code verification stage.

[0017] figure 1 It is a flow chart of a method for human-machine recognition of a verification code according to an embodiment of the present invention. refer to figure 1 , the method starts from step S101. After starting, step S102 is executed to collect one or more s...

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Abstract

The invention discloses a human-machine recognition method of CAPTCHA, comprising: collecting a sample data set including one or multiple groups of training sample data and corresponding tags set forthe groups of training sample data, wherein the tags represent attributes of users; using the sample data set to train a machine learning model; collecting real-time user data; predicting the real-time user data according to the machine learning model so as to determine a user's attribute.

Description

technical field [0001] The disclosure mainly relates to the technical field of machine learning, and more specifically, relates to a human-machine identification method of a slider verification code. Background technique [0002] Human-computer identification is a public Turing machine test used to identify whether the log-in is a normal user or an abnormal user, and to distinguish between computers and humans. Abnormal users, that is, computers or machines, can request login by continuously visiting websites, and simulate normal users to input verification codes to attack website services. Therefore, it is very important to defend against attacks on large websites by identifying whether the login request is a normal user or an abnormal user. [0003] The verification code (CAPTCHA) is the abbreviation of "Completely Automated Public Turing test to tell Computers and Humans Apart" (Turing Test to Tell Computers and Humans Apart), which is a public fully automatic program to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/36G06F21/31G06N99/00
CPCG06F21/316G06F21/36
Inventor 梅鵾卢肖王明博谭炎
Owner ZHONGAN INFORMATION TECH SERVICES CO LTD
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