IC Module Weighted Verification Failure History
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Solution Overview
Problem
Existing verification systems fail to distinguish and manage verification failures effectively, particularly in biometric authentication where success or failure is determined by the degree of similarity, leading to a need for a technique that can update verification failure history in a weighted manner based on similarity.
Innovation Solution
An IC module and IC card system that calculates and updates the cumulative number of verification failures based on the degree of similarity between biometric data, allowing for weighted increments in failure history, thereby distinguishing between authorized and unauthorized attempts by adjusting retry limits accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If verification failure is counted uniformly for all authentication attempts, then the verification system is simple to implement, but it cannot distinguish between authorized and unauthorized access attempts
Solution Approach 1:
The patent segments verification failures into multiple categories based on the degree of similarity between authentication data and reference data. High similarity failures (likely authorized users with minor variations) are separated from low similarity failures (likely unauthorized attempts), allowing differentiated handling and counting of each category independently.
Solution Approach 2:
The patent introduces a similarity degree parameter to characterize verification failures. By measuring and comparing the similarity between authentication data and reference data, the system transforms uniform failure counting into parameter-based differentiated counting, where the similarity degree determines the weight or category of each failure.
2Reliability
If the number of retry attempts is limited strictly, then security against unauthorized access is improved, but legitimate users may be locked out due to minor authentication variations
Solution Approach 1:
The patent applies different retry policies to different similarity degree categories. High similarity failures (likely legitimate users) receive more lenient retry limits, while low similarity failures (likely unauthorized attempts) receive stricter limits. This localized quality adjustment balances security and convenience for different user scenarios.
Solution Approach 2:
The patent makes the retry limit dynamic based on the similarity degree of each authentication attempt. Rather than a fixed retry limit, the system adjusts the allowed number of retries according to the measured similarity, making the verification system adaptive to the specific characteristics of each authentication attempt.
3Adaptability or versatility
If verification uses degree of similarity rather than exact match, then biometric authentication becomes more practical, but verification failure management becomes more complex
Solution Approach 1:
The patent establishes predetermined similarity thresholds and failure counting rules before authentication occurs. By pre-defining how different similarity degrees map to different failure categories and retry limits, the system simplifies real-time verification failure management while maintaining the flexibility of similarity-based biometric authentication.
Data Source
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AI summary
An IC module of an embodiment includes a storage unit, a communications unit, and a processing unit. The storage unit stores reference data. The communications unit receives check data. The processing unit detects a degree of similarity between the reference data and the check data. Furthermore, when the degree of similarity is equal to or larger than a first threshold value, the processing unit determines a verification success, and when the degree of similarity is smaller than the first threshold value, the processing unit determines a verification failure, and updates a verification failure history in a weighted manner according to the degree of similarity.