Dynamic Sensor Activation for Adaptive Authentication Security
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Solution Overview
Problem
Existing electronic devices face challenges in accessing target services or external devices due to varying authentication requirements and reduced recognition rates in adverse environmental conditions, such as direct sunlight or darkness, which complicate multi-factor authentication processes.
Innovation Solution
An electronic device equipped with an input unit, multiple sensors, and a controller that activates sensors based on activation signals to generate authentication information, calculate a final security level score, and determine accessibility, allowing for efficient multi-factor authentication across various services and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If iris recognition is used for authentication, then authentication speed is improved, but recognition rate is reduced in the presence of direct sunlight
Solution Approach 1:
The electronic device integrates multiple authentication sensors (iris sensor, face recognition sensor, fingerprint sensor) to provide multi-functional authentication capabilities. This allows the system to switch between different authentication methods depending on environmental conditions, maintaining both speed and reliability across various scenarios.
Solution Approach 2:
The controller dynamically changes authentication parameters by selecting different sensors based on environmental conditions detected by the environment sensor. When direct sunlight is detected, the system switches from iris recognition to alternative authentication methods, thereby maintaining recognition rate while preserving authentication speed through automated parameter adjustment.
2Ease of operation
If face recognition is used for authentication, then authentication convenience is improved, but recognition rate is reduced in a dark place
Solution Approach 1:
The system provides multiple authentication methods including face recognition, iris recognition, and fingerprint recognition. This multi-functionality ensures that users can maintain authentication convenience while the system automatically selects methods with higher reliability in specific environmental conditions such as dark places.
Solution Approach 2:
The environment sensor provides feedback about lighting conditions to the controller, which then adjusts the authentication method accordingly. When darkness is detected, the system receives feedback and switches from face recognition to alternative methods, thereby maintaining recognition rate while preserving user convenience through automated adaptation.
3Reliability
If multiple authentication methods are provided for different services, then security level is improved, but operation complexity is increased
Solution Approach 1:
The system performs self-service by automatically selecting and executing the appropriate authentication method based on the service requirements and environmental conditions. The controller autonomously manages the authentication process, calculating security level scores and selecting sensors without requiring user intervention, thereby maintaining high security while reducing operational complexity.
Solution Approach 2:
The controller dynamically changes authentication parameters by adjusting which sensors are activated based on the security level requirements of different services. This parameter change approach allows the system to provide varying degrees of security for different services while maintaining ease of operation through automated parameter management rather than requiring manual configuration.
4Reliability
If multiple sensors are activated simultaneously for multi-factor authentication, then security level score is improved, but energy consumption is increased
Solution Approach 1:
The system dynamically activates sensors based on real-time environmental conditions and service requirements rather than keeping all sensors continuously active. The controller adjusts the activation state of different sensors dynamically, calculating security level scores and selecting the minimum necessary combination of sensors to meet security requirements, thereby improving security while reducing energy consumption through dynamic resource management.
Solution Approach 2:
The controller changes the operational parameters of sensors by selectively activating only those needed for the current authentication scenario. Based on environmental sensor input and service security level requirements, the system adjusts sensor activation parameters to achieve the necessary security level score while minimizing energy consumption through optimized parameter configuration.
Data Source
AI summary
Disclosed is an electronic device including: an input unit provided with buttons; a plurality of sensors; and a controller configured to activate at least some of the plurality of sensors based on a received activation signal, generate authentication information based on at least one of the activated sensors, calculate a final security level score based on a security level score corresponding to the at least one authentication information, and determine whether a target service or a target external device is accessible, based on the calculated final security level score.