Continuous Authentication via Periodic Biometric Schema Analysis
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Solution Overview
Problem
Current security solutions fail to continuously authenticate users after initial access, leaving systems vulnerable to unauthorized access and data theft, especially in environments where users access multiple devices and networks.
Innovation Solution
Implementing continuous user authentication through biometric monitoring and data capture, using a security control external device that captures interaction data, extracts semantic meaning, generates schemas, and analyzes behavior to identify security threats, with periodic authentication checks to ensure authorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous authentication is implemented through biometric monitoring and data capture, then security reliability is improved, but device complexity increases
Solution Approach 1:
The system divides continuous authentication into discrete periodic checks rather than constant monitoring. The authentication process is segmented into intervals where biometric data is captured and analyzed at specific moments, reducing continuous computational overhead while maintaining security reliability.
Solution Approach 2:
The patent introduces an intermediary schema-based analysis layer that processes biometric interaction data. Instead of directly comparing raw biometric data continuously, the system uses semantic schemas to represent and compare user behavior patterns, reducing computational complexity while maintaining authentication accuracy.
2Measurement precision
If interaction data is captured and analyzed continuously, then security monitoring capability is improved, but processing time increases
Solution Approach 1:
The system implements periodic authentication checks instead of continuous real-time analysis. Biometric interaction data is captured at defined intervals, and schema-based analysis is performed periodically rather than continuously, reducing processing time while maintaining monitoring capability.
Solution Approach 2:
The patent pre-defines semantic schemas and analysis models before actual authentication occurs. By having the analytical framework prepared in advance, the system reduces real-time processing requirements when actual biometric data needs to be evaluated.
3Measurement precision
If semantic schemas are generated and analyzed for each user interaction, then authentication accuracy is improved, but computational complexity increases
Solution Approach 1:
The system creates simplified semantic copies or representations of complex biometric interaction data through schemas. Instead of processing raw biometric data directly, the system generates abstracted semantic models that capture essential authentication characteristics with reduced computational requirements.
Solution Approach 2:
The patent transforms biometric interaction data into different parameter representations through schema-based semantic analysis. By changing the parameter space from raw biometric measurements to semantic categories and behavioral patterns, the system achieves accurate authentication with reduced computational complexity.
Data Source
AI summary
Methods, systems, and computer programs are presented for securing a computing device. One security device includes a processor, memory and a connector. The memory includes a computer program that, when executed by the processor, performs a method. The method includes operations for detecting that the connector is coupled to a second computing device, and for determining a user associated with the security computing device. In addition, the method includes operations for receiving periodic images from an image capture device coupled to the second computing device, and for performing continuous authentication operations to validate an identification of the user based on the periodic images. The user is disabled from using the second computing device after an authentication operation fails.