Application Startup Control Using Static and Dynamic Biometrics
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Solution Overview
Problem
Existing biometric authentication systems fail to account for the user's intent and emotional state, making them vulnerable to coercion, particularly when multiple applications are involved, necessitating a method to limit software access based on user state.
Innovation Solution
An information processing device performs user authentication using static biometric information and determines the user's state through dynamic biometric information, limiting application software startup based on predefined permission levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is performed for all application software, then security against coercion is improved, but device complexity and operation time increase
Solution Approach 1:
The patent segments the application software into different categories (first category requiring emotional state verification, second category not requiring verification) based on their security requirements. This segmentation allows the system to apply comprehensive biometric authentication only where necessary, reducing overall system complexity while maintaining security for critical applications.
Solution Approach 2:
The patent applies different authentication requirements to different application software based on their specific security needs. Critical financial or personal applications require both static and dynamic biometric verification, while less sensitive applications only require static verification. This local differentiation optimizes the balance between security and system simplicity.
2Reliability
If emotional biometrics verification is performed for all application software, then protection against unauthorized access is improved, but operation time increases
Solution Approach 1:
The patent divides application software into two categories based on security requirements. The first category (requiring emotional state verification) includes applications handling sensitive personal or financial information, while the second category (not requiring verification) includes less sensitive applications. This segmentation enables the system to perform time-consuming dynamic biometric authentication only when necessary, significantly reducing overall authentication time while maintaining security for critical applications.
Solution Approach 2:
The patent applies partial verification (only static biometrics) for less sensitive applications and excessive verification (both static and dynamic biometrics) for sensitive applications. This differentiated approach ensures that the system performs only the necessary level of verification for each application, avoiding unnecessary time consumption while maintaining adequate security.
3Reliability
If dynamic biometric information is measured and compared, then detection of user intent is improved, but measurement precision requirements increase
Solution Approach 1:
The patent performs preliminary measurement of dynamic biometric information during a calibration phase when the user is in a normal state. These baseline values are stored and used for comparison during actual authentication. By establishing reference values in advance, the system can detect deviations indicating coercion without requiring extremely high measurement precision during the actual authentication moment.
Solution Approach 2:
The patent uses feedback comparison between dynamically measured biometric information and pre-stored baseline values to detect user intent. The system continuously monitors changes in dynamic biometric parameters (such as heart rate, skin conductivity) and compares them against the user's normal state baseline. Significant deviations trigger authentication failure, indicating possible coercion. This feedback mechanism allows reliable intent detection while accommodating normal variations in biometric measurements.
Data Source
AI summary
The purpose of the present invention is to provide a portable terminal and an application software start-up system whereby the application software that is started up is limited depending on the state of a user, thereby providing an improved ease of use. For this purpose, an application software start-up method for an information processing device comprises: performing identity authentication based on static biological information; determining the state of the user by comparing dynamic biological information acquired from the body of the user with previously measured dynamic biological information; and limiting the application software that is started up in accordance with the determined state of the user and on the basis of a permission level that is set in advance for each application software item.