Identity recognition method based on keystroke characteristics

Abstract

The invention belongs to the field of network security identity recognition methods, and particularly relates to an identity recognition method based on keystroke characteristics, which comprises a keystroke data acquisition module, a training module and a matching module. The keystroke data acquisition module is mainly used for collecting keystroke data generated by a user to obtain original datawhen the user performs a keystroke behavior. The training module is used for completing extraction and separation of keystroke feature data; carrying out keystroke data preprocessing and keystroke feature extraction on sample keystroke information input by a user from a keyboard, and finishing user sample data training classification to generate a feature database. The matching module is used forjudging whether the keystroke characteristics of the user are matched. The method has the advantages of high correct recognition rate, no need of specific physical hardware, hardware installation andpopularization and low cost.

Description

technical field [0001] The invention belongs to the technical field of network security identification, and in particular relates to an identification method based on keystroke features. Background technique [0002] With the rapid development of the Internet, the computer has become an extension of the human brain, and the computer has become the core device of our era, which is needed every moment. As of December 2018, the number of Chinese netizens reached 829 million, with 56.53 million new netizens added throughout the year, and the Internet penetration rate was 59.6%. The Internet has gradually integrated into people's lives and become an indispensable part. However, with the rapid development of the Internet, Internet security has gradually come into the attention of Internet users. [0003] In the early days of Internet development, system designers designed identity verification systems. The purpose of Internet identity verification systems is to verify whether th...

AI Technical Summary

Problems solved by technology

At present, in the identity verification system, there are generally problems such as poor data collection efficiency, low correct recognition rate, high cost, and complicated operation.

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