Identity authentication system and method based on user habit behavior features

Abstract

The invention relates to an identity authentication system and method based on user habit behavior features. The identity authentication system comprises a configuration module, a collecting muddle, a sample processing module, a sample quantity judging module, a variance calculation module, a combined dimension module, a habit behavior dimension composition module and an authentication module, wherein besides dimensions such as gestures and shaking, dimensions such as activity regions, acting tracks, touch force and trading behaviors are also collected by the collecting module; then, a plurality of behavior habits are extracted through data mining for identity recognition. The problems that in the prior art, the user behavior features are collected only through once collection at the initial stage, and the generated slight change of the user habit behaviors cannot be caught along with the timelapse, so that the user per se cannot be recognized when the behavior change exceeds the critical value are solved. The risk that the gesture action is imitated or an unauthenticated user passes through the authentication due to sampling is further reduced.

Description

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AI Technical Summary

Benefits of technology

The technical effect of this patented technology improves security without increasing their size but still allowing them to recognize more activities than just finger movements alone. It can identify individuals who are likely going abusing resources such as credit card numbers during transactions while avoid being identified with impostors' fingers.

Problems solved by technology

This patented technical problem addressed in the patents relates to improving securely identifying individuals through various means like password-base identification technologies while maintaining ease of usage and usherence from being lost or stolen. Additionally, current recognition techniques require expensive equipment attached to each device or process module, making them difficult to integrate onto other intelligently connected devices without compromising its functionality.

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