Biometric Model Authentication via Adaptive Challenge Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current biometric authentication systems lack a unique user model, relying on probability-based matching of indicia which may not provide sufficient security against unauthorized access.
Innovation Solution
A system and method that determines a biometric model of a user by generating challenges and analyzing responses to create a unique model, allowing for accurate authentication by matching received responses within a predetermined degree of accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If probability-based matching of indicia is used for authentication, then the authentication process is simple and fast, but the security against unauthorized access is insufficient
Solution Approach 1:
The system performs preliminary actions by collecting multiple biometric samples during an enrollment phase before actual authentication. This creates a comprehensive biometric model in advance, allowing the authentication phase to be both secure and efficient by comparing against this pre-established model rather than requiring complex real-time analysis
Solution Approach 2:
The invention changes the parameters used for authentication from simple indicia matching to a multi-dimensional biometric model that includes multiple physical characteristics. This transformation from 2D indicia to multi-parameter biometric modeling significantly enhances security while the systematic approach keeps implementation complexity manageable
2Measurement precision
If multiple biometric parameters are collected to create a unique model, then authentication accuracy improves, but the time and complexity of the authentication process increases
Solution Approach 1:
The system collects and processes multiple biometric parameters during an initial enrollment phase, creating a comprehensive biometric model before authentication is needed. This preliminary action stores the complex multi-dimensional data structure in advance, so that subsequent authentication only requires comparing new samples against the pre-built model, significantly reducing authentication time while maintaining high accuracy
Solution Approach 2:
The invention transitions from 2D indicia representation to multi-dimensional biometric modeling by incorporating multiple physical characteristics (e.g., fingerprint patterns, finger length ratios, inter-finger distances). This dimensional expansion captures more unique user information, improving accuracy while the systematic organization of these dimensions enables efficient processing
Data Source
AI summary
Systems and methods as provided herein may create a biometric model associated with a user. The created biometric model may be used to generate challenges that are presented to the user for authentication purposes. A user response to the challenge may be compared to an expected response, and if the user response matches within a predetermined error of the expected response, the user may be authenticated. The systems and methods may further generate challenges that are adaptively designed to address weaknesses or errors in the created model such that the model is more closely associated with a user and the user is more likely to be the only person capable of successfully responding to the generated challenges.