User-Device Pair Authentication for Virtual Access Violation Detection
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Solution Overview
Problem
Existing systems fail to securely and seamlessly detect access violations in the industrial metaverse, where multiple users interact with virtual assets, necessitating robust user-device authentication and access control to prevent unauthorized access and breaches.
Innovation Solution
A system and method for detecting access violations in a computer simulated environment involving user-device authentication, continuous verification based on behavioral data, and multi-factor authentication, utilizing a distributed ledger and apparatus with modules for authenticating user-device pairs and detecting access violations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used in the industrial metaverse, then device complexity is reduced, but security and reliability of access control deteriorates
Solution Approach 1:
The authentication system is segmented into multiple independent modules: user identity module, device identity module, and mapping module. Each module handles a specific aspect of authentication (user verification, device verification, and pairing validation), allowing the system to achieve high security through modular design while maintaining manageability through clear separation of concerns.
Solution Approach 2:
The patent introduces an intermediary authentication system that mediates between users/devices and the virtual assets in the metaverse. This intermediary layer verifies identities and validates pairings without requiring direct trust between end entities, thereby enhancing security while keeping the overall system architecture manageable through centralized policy enforcement.
2Measurement precision
If continuous verification based on behavioral data is implemented, then detection accuracy of access violations improves, but use of energy and computational resources increases
Solution Approach 1:
The system implements continuous verification by monitoring only critical behavioral parameters and key interaction patterns rather than analyzing all possible data points. This partial action approach maintains high detection accuracy for genuine threats while reducing unnecessary computational overhead from processing every minor interaction in the metaverse environment.
Solution Approach 2:
The authentication system incorporates feedback mechanisms where verification results from behavioral data analysis are fed back to adjust monitoring intensity. When normal patterns are detected, verification frequency is reduced; when anomalies are detected, monitoring intensifies. This dynamic feedback loop maintains high detection accuracy while optimizing resource consumption based on actual threat levels.
Data Source
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AI summary
Disclosed is a system (100, 500) and method (400) for detecting access violations in a computer simulated environment (102). The method comprises authenticating, by a processing unit (302), a user-device pair connection in the computer simulated environment pertaining to the user (502) and the corresponding device (504) based on a user identity registry (112) and a device identity registry (114) respectively and a predefined mapping therebetween; continuously verifying, by the processing unit (302), the user-device pair connection for a time period when the user is connected to the computer simulated environment based on behavioral data of the user acquired from one or more sensors on the device (504); and detecting an access violation in the computer simulated environment when either the authentication of the user-device pair fails or the continuous authentication of the user-device pair connection fails.