Biobehavioral Credential System for Continuous User Authentication
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Solution Overview
Problem
Current access management systems, relying on binary authentication methods such as passwords and biometric verification, are vulnerable to compromise and cannot ensure real-time verification of user authenticity, leading to potential unauthorized access to secure facilities and systems.
Innovation Solution
A biobehavioral derived credential system that combines human biological features and behavioral activities to generate a dynamic security key, using mobile devices with sensors and machine learning algorithms to monitor and verify user behavior against a confidence threshold, ensuring continuous authentication and authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If binary authentication methods (passwords, biometric verification) are used, then the system is simple to operate, but the system is vulnerable to compromise and cannot ensure real-time verification of user authenticity
Solution Approach 1:
The patent transitions from static binary authentication to dynamic continuous authentication by monitoring behavioral patterns over time. The system dynamically adjusts security responses based on real-time behavioral analysis, creating a living authentication system that adapts to user behavior rather than relying on fixed credentials.
Solution Approach 2:
The patent introduces behavioral biometrics as an intermediary layer between traditional authentication methods. This intermediary continuously verifies user identity through behavioral patterns (typing rhythm, device handling, movement patterns) without requiring active user participation, bridging the gap between simple authentication and continuous verification.
2Reliability
If traditional authentication methods are used, then the system requires minimal monitoring resources, but unauthorized access cannot be detected in real-time
Solution Approach 1:
The system performs self-verification by automatically analyzing behavioral patterns without requiring additional monitoring infrastructure. The mobile device itself generates and analyzes behavioral biometric data, eliminating the need for extensive external monitoring resources while maintaining continuous security verification.
Solution Approach 2:
The patent applies partial monitoring by focusing on key behavioral indicators rather than comprehensive continuous monitoring. By selecting specific behavioral patterns (typing rhythm, swipe patterns, device orientation changes) for analysis, the system achieves effective unauthorized access detection with minimal resource consumption.
3Ease of operation
If stolen credentials are used for access, then the authentication process is quick and easy, but the security of secure facilities and systems is compromised
Solution Approach 1:
The patent changes the authentication parameter from static credentials (passwords, biometric templates) to dynamic behavioral patterns. Instead of verifying what the user knows or possesses, the system verifies how the user naturally interacts with the device, making stolen credentials ineffective while maintaining ease of operation for legitimate users.
Solution Approach 2:
The patent converts the potential harm of credential theft into a benefit by making authentication dependent on unique behavioral characteristics that cannot be stolen. The very act of using the device to access systems generates behavioral data that serves as the authentication mechanism, turning the device itself into a security asset rather than a potential vulnerability.
Data Source
AI summary
A system and method for biobehavorial identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.