Adaptive Iris Authentication Thresholds for Dynamic Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing iris authentication systems apply a uniform security threshold regardless of content requirements and ambient conditions, failing to adapt authentication levels based on the necessity of security or device situation.
Innovation Solution
A user authentication method that dynamically sets authentication levels by detecting content execution events, acquiring iris images, extracting valid iris regions, and comparing them with adaptive threshold values based on confirmed authentication levels and situation information, such as location and ambient conditions, to determine if re-photographing is necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the same threshold value for iris authentication is applied regardless of content security requirements, then the authentication process is simple and uniform, but the security level cannot be adapted to different content needs
Solution Approach 1:
The patent implements dynamic threshold adjustment by setting different authentication levels (first, second, third levels) based on content security requirements and ambient conditions. The system dynamically selects appropriate threshold values rather than using a fixed threshold, allowing adaptation to varying security needs while maintaining a structured authentication framework.
Solution Approach 2:
The patent changes the authentication parameter (threshold value) based on two key factors: content security level and ambient situation (location, time, device state). By modifying the threshold parameter dynamically, the system achieves adaptability without requiring completely different authentication mechanisms for each scenario.
2Reliability
If a high authentication threshold is used for all content, then security is reinforced, but user convenience decreases due to stricter authentication requirements
Solution Approach 1:
The patent applies different authentication threshold levels to different content types and situations. High-security content (e.g., banking transactions) receives stricter authentication with higher thresholds, while low-security content uses more lenient thresholds. This local differentiation ensures strong security where needed while maintaining user convenience for routine operations.
Solution Approach 2:
The system dynamically adjusts the authentication threshold based on real-time assessment of content security requirements and ambient conditions. The threshold is not fixed but adapts to the specific context, providing high security when necessary and ease of access when the risk is lower.
3Adaptability or versatility
If the same authentication threshold is applied regardless of ambient conditions, then the authentication system is simple to implement, but it cannot adapt to different security contexts such as location or time
Solution Approach 1:
The patent modifies the authentication threshold parameter based on ambient conditions including user location, time of day, and device state. The system retrieves context information and adjusts the appropriate authentication level accordingly, enabling adaptation to different security contexts while using a unified threshold-adjustment mechanism.
Solution Approach 2:
The patent introduces an intermediary authentication level determination process that sits between the authentication request and the actual iris verification. This intermediary layer assesses content security requirements and ambient conditions to select the appropriate threshold, decoupling the complexity of context assessment from the core authentication mechanism.
4Reliability
If strict authentication is always applied, then security is maximized, but authentication time and user effort increase
Solution Approach 1:
The patent applies different authentication strictness levels to different content and situations. High-security scenarios require more rigorous verification taking longer time, while low-security scenarios use faster, more convenient authentication. This local differentiation optimizes the balance between security assurance and time consumption for each specific case.
Data Source
AI summary
A user authentication method for an electronic device is provided. The user authentication method includes detecting a content execution event, confirming an authentication level of content related to the detected content execution event, acquiring an appearance image through a camera unit, extracting valid regions related to an iris of a user from the acquired appearance image, and performing an authentication on the user by comparing iris authentication reference information related to a confirmed authentication level with the extracted valid regions.