On-Demand Trusted XR Environments for Secure Virtual Events
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Solution Overview
Problem
The metaverse lacks a centralized authority to assign security labels to XR environments, posing security risks due to the immersive and dynamic nature of these spaces, especially with transient objects and avatars that can take any form, leading to challenges in ensuring user safety.
Innovation Solution
A user device creates a trusted list of XR environments, allowing users to teleport between untrusted and trusted XR environments on demand, using crowd-sourced data or trusted authority verification to ensure security, and handles events within trusted environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users access untrusted XR environments for immersive experiences, then user interaction and engagement improve, but security risks and safety concerns worsen
Solution Approach 1:
The XR environment is segmented into trusted and untrusted zones. Users can dynamically transition between these zones based on security requirements. The system segments the virtual space into multiple isolation contexts, allowing immersive interaction in untrusted areas while maintaining secure boundaries for sensitive operations.
Solution Approach 2:
A trusted execution environment (TEE) acts as an intermediary between users and untrusted XR environments. The TEE creates a secure sandbox that mediates all interactions, allowing users to access immersive content while the TEE enforces security policies, verifies object authenticity, and protects sensitive data from malicious elements in the untrusted environment.
2Adaptability or versatility
If XR environments are made dynamic and transient for immersive experiences, then user engagement improves, but security verification and safety monitoring worsen
Solution Approach 1:
Security labels and trust credentials are assigned to XR objects and environments in advance, before users interact with them. The system pre-verified the security posture of virtual spaces, objects, and avatars, storing this information in a security database. When users enter dynamic environments, the TEE automatically retrieves and enforces these pre-assigned security labels without requiring real-time verification of transient objects.
Solution Approach 2:
The system implements continuous feedback loops where the TEE monitors interactions in dynamic XR environments, verifies object authenticity against stored security labels, and automatically adjusts security policies based on detected threats. Users receive feedback about the security status of environments they enter, and the system dynamically updates trust levels based on ongoing verification of transient objects and avatars.
3Reliability
If centralized security authority is implemented for XR environments, then security labeling and verification improve, but system complexity and operational overhead worsen
Solution Approach 1:
XR environment creators and object authors automatically generate and attach security labels to their content using standardized templates and verification processes. The system provides self-service tools for creators to declare security properties of their virtual environments, objects, and avatars. This distributed approach to security labeling reduces the need for centralized verification while maintaining consistent security standards across the metaverse.
Solution Approach 2:
A universal security label framework is implemented that works across all XR environments and platforms. The same security labeling system, TEE architecture, and verification mechanisms are used whether users are in a simple virtual room or a complex multi-user metaverse space. This universal approach allows security functionality to be reused across diverse XR applications without requiring platform-specific implementations, reducing overall system complexity.
4Reliability
If users transition between trusted and untrusted XR environments, then security for sensitive tasks improves, but user experience continuity and immersion worsen
Solution Approach 1:
The TEE dynamically adjusts the security boundaries and trust levels of XR environments based on user actions and context. As users move between trusted and untrusted zones, the system dynamically modifies isolation contexts, resource access permissions, and verification requirements. This dynamic adaptation allows seamless transitions where security measures are applied only when and where needed, maintaining immersion during safe interactions while automatically enforcing security during sensitive operations.
Data Source
AI summary
The concepts and technologies disclosed herein are directed to on-demand trusted extended reality (“XR”) environments. According to one aspect disclosed herein, a user device can create a trusted list identifying at least one trusted XR environment. The user device can connect to an untrusted XR server computer and can allow a user avatar associated with a user to enter an untrusted XR environment provided by the untrusted XR server. The user device can detect an event for which a trusted XR environment is desired. The user device can select the trusted XR environment to handle the event. The user device can select the trusted XR environment from the trusted list. The user device can instruct the untrusted XR server computer to teleport the user avatar from the untrusted XR environment to the trusted XR environment.