Credential Quality Assessment Engine for Authentication Risk
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Solution Overview
Problem
Current authentication systems face challenges in verifying the identity of users, especially in non-in-person access scenarios, as they are vulnerable to attacks such as man-in-the-middle attacks and biometric spoofing, lacking robust mechanisms to ensure the authenticity of credentials and user identity.
Innovation Solution
An authentication risk management system incorporating a credential quality assessment engine that combines biometric identification, natural identification evaluation, and device profile scoring to provide a comprehensive risk profile, integrating biometric data sensing, image processing, and device-specific authentication factors to assess the authenticity of users and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-factor authentication is implemented, then authentication security is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple authentication factors (biometric data, device profile information, behavioral patterns) into a unified risk assessment score. This merging approach maintains high security by evaluating multiple dimensions while presenting a single integrated authentication decision, thereby reducing the perceived complexity for users and operators.
Solution Approach 2:
The authentication system is designed to handle multiple authentication methods (fingerprint, facial recognition, device ID, behavioral analysis) through a single universal risk assessment engine. This multi-functional design allows the system to adapt to different authentication scenarios without requiring separate systems for each factor, thus managing complexity while maintaining security.
2Measurement precision
If biometric data is collected and processed, then authentication accuracy is improved, but privacy risks increase
Solution Approach 1:
The patent introduces a risk assessment engine as an intermediary between biometric data collection and authentication decision-making. This intermediary processes biometric data along with device profile information and behavioral patterns to generate a risk score, thereby enabling accurate authentication while providing an additional layer of protection and control over privacy-sensitive operations.
Solution Approach 2:
The system transforms raw biometric data into processed features and risk scores through the authentication engine. By changing the parameter representation from raw sensitive data to processed authentication metrics, the system maintains measurement precision while reducing privacy risks through data transformation and aggregation with other non-sensitive factors.
3Reliability
If comprehensive risk profiling is performed, then fraud detection capability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary risk assessment by continuously collecting and analyzing device profile information, behavioral patterns, and authentication attempts before critical authentication decisions are required. This preliminary action enables the system to have pre-computed risk indicators ready, reducing processing time during actual authentication while maintaining comprehensive fraud detection capability.
Data Source
AI summary
An authentication risk management system and method are disclose which may comprise a biometric identification unit configured to sense biometric data from a user and produce an image of the sensed biometric data with a stored template associated with the user; and a biometric identification unit natural identification evaluation engine configured to provide a natural identification authentication score. The system and method may further comprise a credentials quality assessment engine (“CQAE”) configured to receive the natural identification authentication score and to provide a CQAE authentication score based one of the natural ID score and a combination of the natural ID score and a received computed authentication score. The CQAE may comprise at least a part of a user authentication profile engine.