Behavior-Based Authentication Using Gross-Motor Movement Recognition
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Solution Overview
Problem
Conventional authentication methods for mobile devices, such as PINs and passwords, are either easily forgotten or insecure, while fingerprint sensors can be unreliable due to environmental factors, and existing movement-based authentication methods require network connections.
Innovation Solution
A behavior-based authentication system that uses sensors like accelerometers and gyroscopes to recognize individual gross motor movements, eliminating the need for PINs or passwords and operating independently without external network connections, utilizing a classification module to identify users based on their unique movement profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a PIN or password is used for authentication, then the user can authenticate to the mobile communication system, but the user must remember the credentials which leads to forgetting or using weak passwords
Solution Approach 1:
The patent replaces the mechanical/cognitive authentication system (remembering PINs and passwords) with a sensor-based movement recognition system. Accelerometers and gyroscopes detect gross motor movements, and a classification module automatically identifies users based on their unique movement patterns, eliminating the need for users to remember credentials while maintaining security.
2Ease of operation
If a fingerprint sensor is used for authentication, then the user can authenticate without remembering credentials, but the sensor may not function properly in certain situations such as dirty or wet fingers
Solution Approach 1:
The patent substitutes the optical/capacitive fingerprint sensing mechanism with an inertial sensing system using accelerometers and gyroscopes. This mechanical movement detection system is not affected by environmental factors like dirt or moisture on the user's fingers, providing reliable authentication in all conditions.
3Adaptability or versatility
If existing movement-based authentication is used, then the system can authenticate users based on movements, but it requires a connection to external networks which increases system complexity
Solution Approach 1:
The patent extracts the authentication functionality from the external network environment and implements it entirely within the mobile communication system. The classification module processes movement data locally using stored reference patterns, eliminating the need for network connections and reducing system complexity while maintaining authentication versatility.
4Reliability
If strong passwords are used for authentication, then the security level is high, but the password becomes long and complex making it difficult for users to remember
Solution Approach 1:
The patent replaces the cognitive burden of remembering complex passwords with an automatic sensor-based recognition system. The accelerometers and gyroscopes continuously monitor gross motor movements, and the classification module automatically compares these movements against stored user profiles, providing high security without requiring user memorization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides secure and convenient user authentication by leveraging unique movement patterns, enhancing security and usability by eliminating the need for remembered credentials and external data processing.
Implementation Method 1
The mobile, portable communication system is also equipped with a sensor, in particular an accelerometer, a gyroscope, or a combination of both, which is designed to detect a gross motor movement
Implementation Method 2
The mobile, portable communication system is also equipped with a sensor, in particular an accelerometer, a gyroscope, or a combination of both, which is designed to detect a gross motor movement
Data Source
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AI summary
The invention relates to a method for the behavior-based authentication of a current user (1) to a mobile, portable communication system (100). Said communication system has at least one sensor (110) for capturing gross-motor measurement data (500), a gross-motor classification module (200), a processor (130), and an internal memory (120). The sensor (110) is designed to capture gross-motor measurement data (500) of a gross-motor movement of a current user (1) of the mobile, portable communication system (100). The gross-motor classification module (200) is configured for classification of the gross-motor measurement data (500) and trained for recognition of a gross-motor movement of a registered user. The method for the behavior-based authentication (400) of the current user (1) to a mobile, portable communication system (100) has the following steps: repeated performance of the following steps: capturing the gross-motor measurement data (500), inputting the gross-motor measurement data (500) into the gross-motor classification module (200), generating a first classification result (600), storing the first classification result (600), accessing the memory (120) of the mobile, portable communication system (100) in order to read out at least one of the stored first classification results (600) from the memory (120), reading out the at least one first classification result (600) and evaluating same in accordance with a specified checking criterion (800), producing an authentication signal (710) if the checking criterion (800) is met.