Dynamic XR Profiles for Secure Web3 Data Sharing
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Solution Overview
Problem
Securing user interactions and data exchange in extended reality (XR) environments is challenging as the number of users and associated user avatars increases, necessitating improved security and interoperability for sensitive interactions.
Innovation Solution
A system and method for generating and securing a user-specific dynamic digital profile in XR environments, utilizing device capabilities and environmental conditions to create a dynamic digital profile responsive to user input modalities and security conditions, authenticated through quantum key distribution, ensuring secure and seamless interactions with Web3 applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user-specific dynamic digital profiles are generated in real-time based on device capabilities and environmental conditions, then security and interoperability are enhanced, but system complexity and computational overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-defining profile templates, capability descriptors, and environmental condition parameters before runtime. These preliminary structures enable rapid profile generation without complex real-time computation, resolving the contradiction between security enhancement and system complexity.
Solution Approach 2:
The digital profile is segmented into multiple independent components including device capability descriptors, environmental condition parameters, user preference data, and security credentials. This segmentation allows selective processing and rendering of only necessary profile portions, reducing computational overhead while maintaining security.
2Reliability
If dynamic digital profiles are customized based on multiple device capabilities and environmental conditions, then user experience and security are improved, but processing time and computational resources increase
Solution Approach 1:
The system implements partial action by rendering only the essential and most critical profile elements first, then progressively adding secondary elements. This approach provides immediate security benefits while minimizing processing time, as the core security functions are established before additional customization is applied.
Solution Approach 2:
Critical security parameters and authentication credentials are prepared and validated in advance before the interaction begins. This preliminary action ensures security is established quickly without requiring extensive real-time processing of all profile elements.
3Measurement precision
If comprehensive device capabilities and environmental conditions are monitored and integrated, then profile accuracy and security are enhanced, but data processing requirements and system overhead increase
Solution Approach 1:
The system applies local quality by monitoring and processing only those specific device capabilities and environmental conditions that are locally relevant to the current interaction context. Instead of uniformly processing all possible parameters, the system selectively focuses on locally significant data points, reducing overall processing requirements while maintaining profile accuracy.
Solution Approach 2:
The system performs partial monitoring by selectively tracking only the most critical device capabilities and environmental conditions necessary for security and functionality. This partial approach achieves sufficient profile accuracy without the excessive energy consumption of comprehensive monitoring of all possible parameters.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances security and interoperability in XR systems by enabling real-time generation and rendering of user-specific profiles, allowing secure and seamless data sharing between XR and Web3 applications, preventing unauthorized access to sensitive information.
Implementation Method 1
authenticated through quantum key distribution, ensuring secure and seamless interactions with Web3 applications
Data Source
AI summary
A method includes rendering, on displays of an extended reality (XR) device, an XR environment, and detecting, based on sensor data obtained from sensors of the XR device, a device capability associated with the XR device and one or more environmental conditions associated with the XR environment. The method further includes receiving a request corresponding to one or more user interactions with an XR application. In response to receiving the request, the method includes generating, based the device capability and the environmental conditions, a dynamic digital profile to be associated with the user, in which the dynamic digital profile is dynamically generated to be responsive to one or more input modalities associated with the request, and render, on the displays, the dynamic digital profile. The rendered dynamic digital profile includes a set of elements responsive to the one or more input modalities of the request.


