Dynamic Biometric Authentication Threshold Adjustment
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Solution Overview
Problem
Biometric feature-based identity authentication methods face challenges due to environmental factors like illumination intensity, noise, and temperature, leading to low accuracy in user equipment authentication.
Innovation Solution
Implementing a method where user equipment detects its scenario and adjusts authentication levels based on trust levels, using current biometric feature data and preconfigured data to determine authentication success, with adaptable matching thresholds and authentication manners for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed matching threshold is used for biometric authentication, then the authentication process is simple and fast, but the authentication accuracy decreases under varying environmental conditions
Solution Approach 1:
The patent implements dynamic adjustment of the matching threshold based on environmental conditions detected by sensors. The threshold is no longer fixed but adapts in real-time according to illumination, temperature, noise, and other environmental factors, thereby maintaining high authentication accuracy across varying conditions while managing complexity through automated environmental assessment
Solution Approach 2:
The patent changes the parameter of the matching threshold from a static value to a dynamic value that varies with environmental conditions. By monitoring environmental parameters (illumination intensity, temperature, noise level) and adjusting the threshold accordingly, the system optimizes authentication accuracy without requiring manual intervention
2Measurement precision
If multiple authentication levels are implemented to improve accuracy, then authentication accuracy improves, but the authentication process becomes more complex and time-consuming
Solution Approach 1:
The patent implements a multi-level authentication system where the authentication level is dynamically selected based on environmental conditions. In favorable conditions, a lower authentication level (faster, single biometric check) is used, while in unfavorable conditions, a higher authentication level (more rigorous, multiple verification steps) is activated, thereby optimizing the balance between accuracy and time
Solution Approach 2:
The authentication process is segmented into multiple levels or stages, each with different complexity and time requirements. The system can selectively activate specific authentication levels based on environmental assessment, allowing users to benefit from fast authentication when conditions permit while ensuring high security when conditions are challenging
3Measurement precision
If environmental factors are monitored and authentication levels adjusted accordingly, then authentication accuracy improves, but the system complexity and energy consumption increase
Solution Approach 1:
The system dynamically activates environmental monitoring and threshold adjustment only when needed, based on the authentication context and environmental conditions. Rather than continuously monitoring all environmental parameters at full capacity, the system adapts its monitoring intensity and processing depth to match the current authentication requirements, thereby reducing unnecessary energy consumption while maintaining accuracy
Data Source
AI summary
An identity authentication method includes detecting a scenario in which the user equipment is located, determining, from at least two different authentication levels of the user equipment, an authentication level corresponding to the scenario in which the user equipment is located, acquiring current biometric feature data entered by a user, and determining, according to the current biometric feature data, preconfigured biometric feature data, and the authentication level, whether identity authentication succeeds.