Mobile Terminal Authentication Unit Activation Control
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Solution Overview
Problem
In mobile terminals, all authentication units are typically activated during the authentication process, leading to increased battery consumption and slowed authentication procedures due to the difficulty in predicting which unit will be used, resulting in unnecessary power usage and prolonged authentication times.
Innovation Solution
A mobile terminal that includes a memory, sensors to detect state information, and a controller to collect and learn authentication item usage based on detected situations, allowing only the necessary authentication unit to be activated, reducing battery consumption and authentication time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all authentication units are activated, then authentication security is improved, but battery consumption increases and authentication time is prolonged
Solution Approach 1:
The system performs preliminary learning to predict which authentication unit the user will select before actual authentication occurs. Based on this prediction, only the predicted authentication unit is activated in advance, avoiding the need to activate all units while maintaining security through accurate prediction over time
Solution Approach 2:
The system dynamically adjusts which authentication units are activated based on learned user behavior patterns. The activation state of authentication units changes dynamically according to the predicted user selection, transitioning from static activation of all units to dynamic selective activation
2Reliability
If all authentication units are activated, then authentication security is improved, but authentication procedure speed deteriorates
Solution Approach 1:
The system performs preliminary learning during non-authentication periods to build prediction models. When authentication is needed, the already-learned prediction results are used to activate only the necessary authentication unit, eliminating the time penalty of activating all units while maintaining security through accumulated learning accuracy
3Use of energy by moving object
If selective authentication unit activation is implemented, then battery consumption is reduced, but system complexity increases due to learning requirements
Solution Approach 1:
The controller serves multiple functions: it acts as both the authentication controller and the learning processor. The existing controller hardware is utilized to perform learning operations, avoiding the need for separate dedicated learning hardware and reducing overall system complexity while enabling selective activation
4Loss of time
If selective authentication unit activation is implemented, then authentication time is reduced, but measurement precision requirements increase for state information
Solution Approach 1:
The system collects a comprehensive set of state information parameters (excessive action) including sensing values from multiple sensors, authentication history, and environmental data. This excessive data collection ensures that even if individual measurements have noise, the aggregated information provides sufficiently precise predictions to enable fast selective activation
Data Source
AI summary
A mobile terminal includes a memory; a sensor configured to detect state information of the mobile terminal; and a controller configured to: collect the state information of the mobile terminal and an authentication item used for user authentication when an authentication situation is detected; learn at least one authentication item corresponding to the state information among a plurality of authentication items; and cause the memory to store a result of the learning.