Human-machine identification method, server, client and human-machine identification system

Abstract

The invention discloses a man-machine recognition method, a server, a client and a man-machine recognition system. The man-machine recognition method comprises the following steps of making the server receive an operation request sent by the client and establish a connection with the client; generating a random code snippet only used for a preset client as a to-be-executed code segment in the server and sending the to-be-executed code segment to the client; making the server receive and verify an executive result sent by the client after the to-be-executed code segment is executed; if the verification of the executive result is successful, determining a man-machine recognition result as an operation of a user at the preset client; and if the verification of the executive result is failed, determining the man-machine recognition result as a machine operation. According to the scheme, the characteristics of the client are taken as a judgment criteria of man-machine recognition, so that the user does not need to participate in a process of man-machine recognition, the tedious operations of the user are removed, and the efficiency and the fluency of the user operations can be greatly improved.

Description

technical field [0001] The invention relates to the field of network security, in particular to a human-machine identification method, a server, a client and a human-machine identification system. Background technique [0002] The rapid emergence of the Internet in recent years has enriched and entertained people's lives. More and more people choose to use the Internet for daily financial operations, such as logging in to online banking to manage bank accounts and online shopping. The Internet is often accompanied by hacker activities. Hackers use network robots, such as automated scripts, desktop or server programs, etc., to quickly crack usage scenarios with high data sensitivity in a fully automatic brute force method, and obtain various private information of ordinary users, such as bank account passwords, Login passwords for online shopping, etc., seriously endanger the interests of users. At present, the protection method commonly used in the industry is the fully au...

AI Technical Summary

Problems solved by technology

At present, the protection method commonly used in the industry is the fully automated Turing test (CAPTCHA, Completely Automated Public Turing Test to Tell Computers and Humans Apart), that is, when the user reaches the application login interface with sensitive data operations, the system will A picture is generated in the background and a random string is embedded in the picture. When the client sends a login request to the server, if the server detects that the client has sent the correct string content on the picture, it will be considered The client is operated by ordinary users rather than network robots, because it is generally believed that it is difficult for machines to quickly, dynamically and accurately identify random strings on pictures

[0003] Although CAPTCHA technology has solved most of the work of man-machine recognition to a certain extent, it has also greatly affected the fluency of people's operations.

Especially when the Internet device used by the user is a mobile terminal, it is very cumbersome to identify and input random numbers on the picture

Therefore, the existing human-machine recognition technology has caused low efficiency and fluency in user operations.

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