Gaming Behavior Authentication via Behavioral Biometric Analysis
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Solution Overview
Problem
Current authentication methods in computer gaming lack seamless and secure solutions for verifying user identity, particularly in scenarios where devices are shared or accessed by others, leading to potential unauthorized access.
Innovation Solution
An authentication system utilizing behavioral biometrics that analyzes gaming behavior data, including physical, cerebral, interaction, and device behaviors, to authenticate users by comparing suspect gaming behavior to established patterns of authentic users, providing seamless and secure access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (passwords, PINs) are used, then implementation is simple, but security is insufficient and can be easily bypassed on shared devices
Solution Approach 1:
The patent replaces traditional mechanical/authentication systems (passwords, PINs) with behavioral biometric analysis. The system captures gaming behavior data including input patterns, decision-making processes, and interaction sequences, then analyzes these behaviors to authenticate user identity. This substitution provides stronger security without requiring complex additional hardware, as it leverages existing gaming input data.
Solution Approach 2:
The authentication system operates autonomously by automatically collecting, analyzing, and comparing gaming behavior data without requiring user intervention. The system self-manages the authentication process by comparing suspected user behavior against stored authentic behavior patterns and automatically making authentication decisions, reducing the need for complex user-facing authentication mechanisms.
2Reliability
If behavioral biometric analysis is implemented, then authentication security is enhanced, but data collection and processing complexity increases
Solution Approach 1:
The system serves multiple functions by utilizing existing gaming behavior data for both gameplay analysis and authentication purposes. The same data collected for monitoring gaming performance and player engagement is simultaneously used for authentication, eliminating the need for separate dedicated authentication data collection systems and reducing overall complexity.
Solution Approach 2:
The authentication system continuously compares current gaming behavior data against stored authentic behavior patterns and provides feedback in the form of authentication decisions. This feedback mechanism allows the system to adapt and refine its authentication accuracy over time while maintaining manageable complexity through iterative comparison rather than complex one-time analysis.
3Ease of operation
If seamless authentication is implemented, then user experience is improved, but detection of unauthorized access becomes more difficult
Solution Approach 1:
The system maintains continuous authentication verification during gaming sessions by continuously comparing ongoing gaming behavior data against authentic user patterns. This continuous monitoring enables seamless authentication that operates in the background without interrupting gameplay, while simultaneously maintaining high detection capability for unauthorized access through uninterrupted behavioral analysis.
Data Source
AI summary
A system includes at least one hardware processor in communication with a gaming device and a memory storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform operations including receiving suspect gaming behavior data associated with a suspect user playing a computer game on the gaming device, comparing the suspect gaming behavior data to a user gaming behavior profile associated with another user, the user gaming behavior profile includes at least one component of behavior associated with the other user and the computer game representing a pattern of conduct of the other user, and based on the comparing, authenticating the suspect user for access to a target system as the other user.


