User Identity Verification via Digital Resource Stacking
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Solution Overview
Problem
Conventional systems lack the capability to validate users in a virtual ecosystem, making it difficult to verify the identity of digital representations and ensure legitimate and authorized interactions within digital ecosystems.
Innovation Solution
A system that validates users based on the stacking of digital resources, where users provide and stack Non-Fungible Tokens (NFTs) to calculate scores, allowing for verification and authorization of resource interactions, and facilitates resource transfers between users based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems are used without user validation mechanisms, then the system simplicity is maintained, but the reliability of user identity verification deteriorates
Solution Approach 1:
The patent introduces a validation system that acts as an intermediary between users and the digital ecosystem resources. This mediator validates user identities by examining digital resources (NFTs, tokens, credentials) without requiring direct trust between users, thereby improving reliability while maintaining manageable system complexity through automated mediation processes
Solution Approach 2:
The system validates user identities by examining copies or representations of digital resources (such as NFT metadata, token information, and credential data) rather than requiring direct verification of original physical identities. This copying approach enables reliable verification through digital replicas while keeping the validation mechanism simple and automated
2Measurement precision
If digital resources are stacked for validation, then the measurement precision of user credibility is improved, but the device complexity increases
Solution Approach 1:
The validation system segments user credibility assessment into discrete components by evaluating individual digital resources (NFTs, tokens, credentials) separately and then aggregating them through stacking. Each resource type can be validated independently with specific criteria, then combined to form an overall credibility score, improving measurement precision while managing complexity through modular assessment
Solution Approach 2:
The system changes parameters by transforming various types of digital resources into a standardized credibility score parameter. Different resource types (NFTs, tokens, credentials) are converted into comparable units through the stacking mechanism, enabling precise measurement of user credibility while maintaining a unified evaluation framework that manages system complexity
3Reliability
If user validation based on digital resource stacking is implemented, then the reliability of resource interactions is improved, but the ease of operation deteriorates
Solution Approach 1:
The validation system operates through self-service mechanisms where users automatically present their digital resources for validation without manual intervention. The system autonomously stacks and evaluates resources, generates credibility scores, and determines interaction legitimacy, improving reliability while minimizing the operational burden on users through automated self-validating processes
Solution Approach 2:
User validation is performed as a preliminary action before resource interactions occur. The system pre-validates user identities by stacking digital resources and establishing credibility scores in advance, so that when interactions occur, the reliability check has already been completed, streamlining the actual interaction process and improving ease of operation
Data Source
AI summary
Embodiments of the present invention provide a system for validating users in a virtual ecosystem based on stacking of digital resources. The system is configured for identifying initiation of a resource interaction between a first user and a second user in a digital ecosystem, receiving a verification request from at least one of the first user and the second user, prompting the first user and the second user to provide digital resources, receiving first number of stacked digital resources from the first user and second number of stacked digital resources from the second user, calculating a first score for the first user based on the first number of stacked digital resources, calculating a second score for the second user based on the second number of stacked digital resources, and processing the resource interaction based on inputs received from the first user and the second user in the digital ecosystem.