Behavioral Biometric Authentication for Continuous User Verification
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Solution Overview
Problem
Existing video game authentication methods, such as password-based systems, cause interruptions and are vulnerable to unauthorized access, lacking a seamless and secure strong authentication solution.
Innovation Solution
A behavioral biometric authentication method using machine learning to analyze user interactions with game consoles, generating biometric models from interaction data to provide continuous, seamless, and secure user verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password-based authentication is used, then user accounts are secured from unauthorized access, but user experience is interrupted and security is still vulnerable to password theft
Solution Approach 1:
The patent replaces the mechanical/password-based authentication system with a behavioral biometric authentication system. Instead of requiring users to manually enter passwords, the system captures and analyzes behavioral data (typing rhythm, mouse movements, interaction patterns) to automatically authenticate users. This substitution eliminates the friction of password entry while providing stronger security through unique behavioral patterns that are difficult to steal or replicate.
2Reliability
If strong authentication is required for payments, then transaction security is improved, but user friction and interruptions increase
Solution Approach 1:
The patent implements continuous behavioral biometric authentication that operates in the background during user interactions with the application system. Instead of requiring separate authentication steps for payments, the system continuously monitors behavioral patterns and maintains an authentication state. This allows transactions to be validated seamlessly without interrupting the user's workflow or requiring additional time for authentication procedures.
3Reliability
If additional authentication devices are used, then authentication security is strengthened, but device complexity and user convenience are reduced
Solution Approach 1:
The patent enables the application system to perform authentication using only the interaction device already in use. The system captures behavioral data through the existing interface (keyboard, mouse, touchscreen) and processes it locally or on the server. No additional hardware devices such as fingerprint scanners, facial recognition cameras, or separate authentication terminals are required. The system serves itself by utilizing the natural interaction patterns already present in the user-device relationship.
4Ease of operation
If behavioral biometric authentication is implemented, then seamless continuous authentication is achieved, but computational processing requirements increase
Solution Approach 1:
The patent extracts and analyzes only the most relevant behavioral features from the continuous stream of user interactions. Instead of processing all raw interaction data, the system identifies and focuses on key behavioral patterns such as typing rhythm, mouse movement dynamics, and interaction timing. This extraction approach reduces the computational burden while maintaining authentication accuracy. The system processes a simplified representation of behavioral data rather than the complete raw dataset, thereby reducing energy consumption.
Data Source
AI summary
The invention relates to a method for behavioral biometric authentication of a user interacting with an application system by means of at least one interaction device, which comprises: obtaining (530) values of characteristic parameters of the user's behavior determined from events produced by the user's interaction with the interaction device; determining (540) a first score by applying a behavioral model of the legitimate user to the values of the characteristic parameters; determining (550) second scores by respectively applying each of the behavioral models of the reference users to the values of the characteristic parameters; and determining (560) a decision to authenticate the user as being the legitimate user on the basis of the first score and the second scores.