Metaverse Data Security via Simulated Interaction Verification
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Solution Overview
Problem
Decentralized networks, such as blockchain networks, lack a central entity to administer data security, making it challenging to secure data interactions, especially in metaverse environments where standardized robust data security systems are not yet established.
Innovation Solution
The implementation of a system that employs security bots to monitor and record data interactions in metaverse environments, intelligently detecting suspicious interactions, and taking actions such as blocking or temporarily holding data interactions to prevent theft, while also utilizing a simulation engine to verify suspicious interactions without actual data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If decentralized networks operate without a central entity, then system autonomy and user control are improved, but data security administration and governance become difficult
Solution Approach 1:
The patent implements self-service security mechanisms where the decentralized system automatically detects suspicious data interactions, evaluates risks, and executes security responses without requiring central administration. Security bots autonomously monitor data interactions, identify patterns, and block malicious operations, enabling the system to secure itself while maintaining decentralization and user autonomy
Solution Approach 2:
The system continuously monitors data interactions and uses feedback loops to detect suspicious patterns. Security bots analyze data interaction patterns in real-time, compare them against established behaviors, and automatically adjust security responses. This feedback mechanism enables adaptive security administration without requiring a central authority, resolving the contradiction between autonomy and security governance
2Reliability
If automated security monitoring is implemented, then data security is improved, but system complexity increases
Solution Approach 1:
The patent uses security bots that create simplified copies or representations of complex data interaction patterns to analyze and detect suspicious behaviors. Instead of directly managing all data interactions, the system creates abstracted security models that can be processed and responded to automatically, reducing the operational complexity of security monitoring while maintaining high security effectiveness
3Reliability
If simulated data interactions are used for verification, then security verification capability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary security verification through simulated data interactions before actual data transfers occur. Security bots create and execute simulated versions of data interaction protocols to test for suspicious patterns in advance. This preliminary verification action identifies security issues before they affect real data, allowing the system to block malicious transactions without requiring time-consuming real-time analysis of actual data transfers
Data Source
AI summary
A system includes a plurality of computing nodes that form a blockchain network, wherein one or more of the computing nodes is a metaverse computing node configured to generate a mixed reality environment. A processor of at least one computing node is configured to receive information relating to a suspicious data interaction associated with a data file of a user, simulate, based on the received information, the suspicious data interaction in a synthetic mixed reality environment that is substantially identical to the mixed reality environment, verify the suspicious data interaction while the simulated data interaction is being performed. When the suspicious data interaction cannot be verified, the processor disables one or more future data interactions processed using the same smart contract used to process the suspicious data interaction, and when the suspicious data interaction is successfully verified, terminates the simulated data interaction and process the suspicious data interaction.