An identity authentication system and method based on user habitual behavior characteristics
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology of identity authentication and behavior, which is applied in the field of identity authentication system, can solve problems such as behavior changes that cannot identify the user himself, capture subtle changes in user habitual behavior, etc., and achieve the effect of reducing the risk of passing authentication and improving security
Active Publication Date: 2018-11-20
SHENZHEN ALL IN ONE NEW TECH LTD
View PDF6 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0009] In order to solve the following technical problems in various current user behavior-based identity authentication methods: 1. Only rely on one-time collection in the initial stage to obtain user behavior characteristics, and cannot capture subtle changes in user habitual behavior over time, resulting in behavior The problem that the user cannot be identified when the change exceeds the critical value
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0108] The specific implementation process of this method in the offline micropayment application is as follows:
[0109] S1, starting from the user installing the offline micropayment application, the following raw behavioral data samples are continuously collected: the merchant, time point, single consumption amount of the user each time, and gestures when approaching the payment terminal, recorded as: u( x, y, z, t), where x represents the single consumption amount, y represents the merchant, t represents the consumption time, and z represents the gesture feature value;
[0110] S2, continuous collection for one week to obtain 20 effective samples, U={u 1 , u 2 ,...,u 20}
[0111] S21, calculate the standard deviation of the four dimensions of single consumption amount x, merchant y, consumption time t, and gesture action characteristic value z, respectively recorded as Set the variance threshold to be There are the following discrimination results:
[0112]
[0...
Embodiment 2
[0131] S1 extracts all sensing parameters on the user's mobile terminal;
[0132] S2 collects business data that completes specified business actions;
[0133] S3 saves the collected business data into the corresponding type of original behavior data sample set;
[0134] S4 judges whether habitual behavior characteristics have been found out;
[0135] If the habitual behavior feature is found, it is judged whether the value range of the user's habitual behavior degree is within the range of the habitual behavior feature;
[0136] If it is within the range, the authorization is successfully authenticated and the authorization level is increased at the same time;
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
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
technical field [0001] The invention relates to an identity authentication system and method based on user habitual behavior characteristics. Background technique [0002] With the popularization of mobile Internet, smartphones are widely used in scenarios such as offline micropayment, access control, bus and subway due to their portability, exclusivity and privacy. While bringing convenience, there are still security issues , For example: non-users use the mobile phone due to the loss of the mobile phone or theft of information, resulting in property loss. [0003] In order to improve security, user identity needs to be identified and authenticated in the above application scenarios. Commonly used methods are divided into three categories: password-based identification technology (such as: digital password, gesture password), biometric-based identification technology (such as facial recognition, fingerprint recognition, iris recognition, voiceprint recognition), and recogn...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more