Biometric Open Protocol Standards Authentication
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Solution Overview
Problem
Current security systems for accessing information over data communication networks face challenges in ensuring secure authentication and authorization, particularly in preventing spoofing and ensuring continuous protection of sensitive resources.
Innovation Solution
The Biometric Open Protocol Standards (BOPS) framework provides secure authentication by using encrypted biometric vectors, role-based access control, and intrusion detection to authenticate users and manage access to sensitive resources, ensuring continuous protection and preventing unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional username and password authentication is used, then ease of operation is improved, but security and protection against spoofing deteriorates
Solution Approach 1:
The patent replaces traditional mechanical username/password authentication with biometric authentication systems that use physiological characteristics (fingerprint, facial recognition, iris scanning). This substitution maintains ease of operation through automatic recognition while significantly improving security against spoofing attempts, as biometric features are inherently difficult to replicate compared to traditional credentials.
Solution Approach 2:
The patent changes the authentication parameter from discrete credentials (username/password) to continuous biometric measurements. By using biometric vectors and feature extraction, the system transforms authentication into a measurement-based process that continuously verifies physiological characteristics, thereby improving both ease of operation and security simultaneously.
2Measurement precision
If biometric data is stored and processed centrally, then authentication accuracy is improved, but system complexity and security vulnerability increase
Solution Approach 1:
The patent segments the biometric authentication system into distinct functional modules: biometric data collection, feature extraction, template generation, storage, and verification. This segmentation allows each component to be optimized independently, improving authentication accuracy through specialized processing while managing system complexity through modular architecture that facilitates maintenance and security.
Solution Approach 2:
The patent introduces an intermediary verification layer that compares biometric features against stored templates without requiring direct access to raw biometric data. This intermediary approach maintains authentication accuracy by using feature-based comparison while reducing system complexity and security vulnerability by minimizing the storage and processing of sensitive biometric information.
3Reliability
If continuous monitoring and intrusion detection are implemented, then security protection is improved, but system complexity and resource consumption increase
Solution Approach 1:
The patent implements continuous monitoring of authentication processes and system access patterns to detect intrusions and anomalies. By maintaining continuous verification and monitoring without interruption, the system provides ongoing security protection while managing complexity through automated detection algorithms that operate continuously without requiring manual intervention.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor authentication success rates, detection accuracy, and system performance. This feedback enables the intrusion detection system to adapt to changing threat patterns while maintaining manageable complexity through automated adjustment of monitoring parameters and detection thresholds based on observed system behavior.
Data Source
AI summary
Secure communications are provided between a user computing device and a server computing device. An enrollment request is received from a user computing device that is configured via a distributed client software application, and is processed. The enrollment request is usable to enroll the user computing device in a network and includes an encrypted partial initial biometric vector associated with a user. An authentication request is processed that is subsequently received that includes an encrypted partial second biometric vector and that is associated with a user of the user computing device. A comparison of the encrypted partial initial biometric vector and the encrypted partial second biometric vector is performed, and a value representing the comparison is generated and transmitted to the user computing device. The user computing device is authenticated where the value is above a minimum threshold.