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Mobile identity authentication method and system based on screen-sliding habit of user

A mobile identity and authentication method technology, applied in the field of information security, can solve the problems of immaturity and lack of collection of physiological characteristics, and achieve the effect that it is not easy to forge

Inactive Publication Date: 2017-09-22
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

Since most mobile phones do not have the function of collecting physiological characteristics, the current research based on biometric identification on the mobile terminal mainly focuses on human behavior characteristics. This technology is still in the research stage and is not yet mature.

Method used

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  • Mobile identity authentication method and system based on screen-sliding habit of user
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  • Mobile identity authentication method and system based on screen-sliding habit of user

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] Such as figure 2 As shown, the present invention discloses a mobile identity authentication method based on user swiping habits, the method includes the following steps:

[0051] S1. Perform feature extraction on the biological behavior characteristics of the preprocessed data, and perform format conversion on the data after feature extraction;

[0052] S2. Select a random forest classifier according to the operation mode of the user swiping the screen;

[0053] S3. Submitting the format-converted data to the selected random forest classifier for classification, and voting on the classifi...

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Abstract

The invention discloses a mobile identity authentication method and system based on screen-sliding habit of a user. The method comprises the following steps: S1, carrying out feature extraction on biological behavior features of data after pre-processing, and carrying out format conversion on data after the feature extraction; S2, selecting a random forest classifier according to screen-sliding operation modes of the user; and S3, submitting data after the format conversion to the selected random forest classifier for classification, and carrying out voting on classification results to determine a final mobile identity authentication result. The system of the invention corresponds to the above-mentioned method. The method and system have the characteristics of being able to easily cope with an identity authentication requirement under free screen-sliding operation modes, a high classification accuracy rate and the like.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a mobile identity authentication method and system based on user swiping habits. Background technique [0002] At present, traditional password authentication or pattern matching methods are still used for identity authentication on smartphones. However, these authentication methods have defects such as easy interception, cracking, disclosure, forgery, and weak correlation with personal identity in terms of security. Criminals can easily steal user passwords by using Trojan horses and virus programs on mobile terminals, and then steal user private information and even bank accounts. With the widespread popularity of mobile Internet and mobile payment, there is an urgent need for an authentication mechanism that is easy to use, highly secure, and strongly related to personal identity to cope with the increasingly severe security situation. [0003] Biomet...

Claims

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Application Information

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IPC IPC(8): G06F21/31G06K9/62
CPCG06F21/316G06F18/24323
Inventor 鲁鸣鸣郭一涵郑林
Owner CENT SOUTH UNIV
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