Writing behavior characteristic authentication method based on wrist wearing electronic equipment

Abstract

The invention discloses a writing behavior characteristic authentication method based on wrist wearing electronic equipment. The writing behavior of a user is analyzed, the characteristics of writing are extracted and the characteristics with obvious distinction degree are found according to accelerated speed data and angular speed data obtained by an accelerograph and a gyroscope, and a single classifier is utilized for carrying out classification judgment. Besides, dynamic time series distance (DTW) between training data is calculated, and the dynamic time series distance is contrasted with an input sample, and the two judgments are synthesized, so that that whether the user is legal or not is determined. According to the method disclosed by the invention, the collection for behavior data is extremely convenient, and the collection for behavior data can be completed after writing when the user wears equipment such as a smart bracelet or a smart watch; and moreover, the stability of an authorization model can be guaranteed by adopting two different methods for modeling and authorization respectively, the writing behavior of the user can be preferably reflected, and the robustness and fault tolerance of identity authentication are obviously improved; and the authentication method is difficult to attack through an attack test.

Description

technical field [0001] The invention relates to the field of device security authentication, in particular to a security identity authentication method for wrist-worn electronic device users. Background technique [0002] With the advancement of social informatization and intelligence, more and more personal information (such as text messages, emails, pictures, etc.) and sensitive information (such as bank account numbers, office data, etc.) are stored in electronic devices. In addition, the frequent occurrence of personal privacy information leakage incidents has gradually brought the security protection of electronic equipment into the public's field of vision. At the same time, with the popularity of electronic wearable devices (smart bracelets, smart watches, etc.), we can use them to perform a more convenient identity authentication process. [0003] Existing identity authentication methods for electronic devices mainly include memory passwords (such as digital passwor...

AI Technical Summary

Problems solved by technology

However, the first method is vulnerable to observation attacks and guessing attacks, so that the unlocking method is stolen by the attacker; authentication methods such as fingerprints and iris require special hardware support; and the second method is not completely safe. The person's fingerprint can be recovered on the computer from the photo of the person waving

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