Cognitive User Authentication via Skill Model Adaptation
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Solution Overview
Problem
Conventional two-element authentication methods fail to achieve high accuracy due to limitations in identifying users and measuring online response times for tasks requiring specific skills.
Innovation Solution
A user authentication system that constructs a skill model for each user based on their background and authentication performance, using machine learning to refine the model and generate questions that test response times and problem-solving abilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication methods are used to improve safety, then authentication security is improved, but the ability to confirm real-time photo authenticity and prevent copying deteriorates
Solution Approach 1:
The patent replaces traditional biometric authentication mechanisms with a cognitive ability assessment system. Instead of relying on physical or digital fingerprints, the system evaluates users' problem-solving speeds and cognitive patterns to authenticate their identity, thereby eliminating the vulnerability of biometric data copying while maintaining high authentication security.
Solution Approach 2:
The patent changes the authentication parameters from static biometric data (fingerprints, facial recognition) to dynamic cognitive performance metrics (problem-solving speed, response time). This parameter transformation enables real-time verification of authentic cognitive behavior while preventing the use of pre-stored or copied authentication data.
2Ease of operation
If conventional authentication methods are used, then ease of operation is maintained, but authentication accuracy and ability to prevent impersonation deteriorates
Solution Approach 1:
The patent implements self-service authentication by having users naturally perform cognitive tasks during the authentication process. Users answer questions or solve problems as part of their normal interaction, and their cognitive performance automatically serves as the authentication mechanism, eliminating the need for separate authentication steps while maintaining high accuracy.
Solution Approach 2:
The patent makes the authentication system universal by using cognitive ability assessment for multiple authentication scenarios. The same cognitive evaluation mechanism works for different user types and authentication contexts, providing both ease of operation and high accuracy without requiring separate authentication methods for different purposes.
3Reliability
If existing two-element authentication methods are used, then authentication safety is improved, but the burden on users and ability to authenticate on user's channel deteriorates
Solution Approach 1:
The patent merges the authentication function with the user's natural cognitive activities. By combining the authentication process with problem-solving tasks that users perform anyway, the system eliminates additional authentication steps and reduces user burden while maintaining high safety through cognitive ability verification.
Data Source
AI summary
A user authentication device includes: a collection part collecting information of a user; a generation part generating a question for the user on the basis of the information of the user collected by the collection part and a skill model of the user; a presentation part presenting the question for the user generated by the generation part to the user; a reception part receiving, from the user, a response to the question presented by the presentation part; and a determination part determining authentication of the user on the basis of the response received by the reception part.