Cognitive Biometric Authentication for Intruder Detection
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Solution Overview
Problem
Current computer systems face challenges in authenticating users and identifying unauthorized access, particularly in digital transactions where traditional password-based systems are vulnerable to brute force attacks, social engineering, and session hijacking, necessitating stronger authentication methods that can continuously verify user identity and detect abnormal behavior.
Innovation Solution
The implementation of cognitive/behavioral biometric authentication using stimulus-response scenarios to capture and analyze a user's cognitive function and behavioral patterns, creating a unique cognitive/behavioral biometric fingerprint for continuous authentication and profiling, which can differentiate between authorized users and intruders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional password-based authentication is used, then ease of operation is improved, but security and reliability deteriorate due to vulnerability to brute force attacks, social engineering, and session hijacking
Solution Approach 1:
The patent replaces traditional mechanical/password-based authentication systems with cognitive biometric authentication that analyzes behavioral patterns, typing dynamics, and cognitive responses. This substitution maintains ease of operation while dramatically improving security by verifying identity through inherent human characteristics rather than memorized secrets.
Solution Approach 2:
The system changes the authentication parameters from static passwords to dynamic behavioral and cognitive metrics including typing rhythm, response time, decision-making patterns, and neural processing characteristics. These parameter changes enable continuous verification without burdening the user, resolving the contradiction between ease of operation and security.
2Reliability
If cognitive/behavioral biometric authentication is implemented, then authentication security and continuous verification capability are improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent implements a multi-functional authentication system that simultaneously performs traditional password verification, cognitive biometric analysis, behavioral pattern recognition, and continuous session monitoring. By consolidating these functions into a unified framework, the system achieves high security without proportionally increasing complexity, as the same infrastructure supports multiple authentication layers.
Solution Approach 2:
The system performs preliminary cognitive and behavioral analysis during the initial authentication phase, establishing baseline patterns before the user begins actual work. This preliminary action enables continuous verification throughout the session without requiring ongoing complex processing, as the system compares real-time behavior against pre-established baselines.
3Reliability
If continuous authentication through stimulus-response scenarios is used, then ability to detect intruders and abnormal behavior is improved, but loss of time and user productivity worsen
Solution Approach 1:
The patent implements continuous authentication by analyzing behavioral and cognitive patterns throughout the user session without interrupting workflow. The system continuously monitors typing dynamics, response patterns, and decision-making behaviors in the background, eliminating the need for periodic authentication pauses while maintaining intruder detection capability.
Solution Approach 2:
The system performs self-service authentication by automatically analyzing user behavior patterns and making authentication decisions without requiring user intervention. The cognitive biometric verification occurs transparently through normal user interactions, eliminating additional time requirements while maintaining security through continuous behavioral analysis.
Data Source
AI summary
A method of criminal profiling and person identification that utilizes an online identity software-based solution which focuses on the cognitive/behavioral aspects of an individual who is attempting to gain or has gained unauthorized access to a computer system or portions of that system, who may be posing as an authorized user of that system. There is an emphasis on identifying the intruder's unique cognitive/behavioral biometric fingerprint while he is creating usable electronic evidence during his criminal behavior in cyberspace.