Method, terminal and server for authenticating user

Abstract

The present application provides a method, a terminal and a server for authenticating a user, and relates to the field of communications. The method includes: outputting a first image and a second image to a user, the first image being an initial image, and the second image being obtained by performing predetermined processing on pixel values of the first image; outputting an indication information for instructing the user to select the first image or the second image; receiving a selection input of the user to the first image or the second image, the selection input being used to determine whether the user is a human or a machine. The method significantly reduces the difficulty of human identification of the authentication code and enhances the user experience while maintaining or slightly increasing the difficulty of machine identification of the authentication code.

Description

technical field [0001] The present application relates to the field of network communication, in particular to a method for authenticating a user, a terminal and a server. Background technique [0002] With the development of network communication technology, more and more people start to use the Internet for work, entertainment and study. [0003] The network has greatly facilitated and enriched people's lives, and network security has become more and more important. In the existing network environment, some hackers will use a specific program to brute force the continuous login attempts of a specific registered account to steal the user's private information and threaten the user's network information security. [0004] Verification code (CAPTCHA) is a more effective way to prevent brute force cracking of user passwords. By setting the verification code, the website server can more effectively distinguish whether the login is a human or a machine, thereby preventing the ...

AI Technical Summary

Problems solved by technology

However, with the development of artificial intelligence technology, the ability of computers to recognize images is getting stronger and stronger, and some traditional image verification codes are difficult to effectively distinguish whether the registrant is a human or a machine

On the other hand, if the difficulty of the image verification code is further increased, such as making the image more blurred, it may cause legitimate human users to fail to recognize the information in the verification code

Images