Digital Token Attribute Parsing for NFT Access Control
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Solution Overview
Problem
Managing non-fungible tokens (NFTs) is technologically challenging due to their unique traits, making it difficult to identify and organize them effectively, as existing methods require manual identification of traits which is resource-intensive and subjective.
Innovation Solution
A method and system that connect to a distributed data network, access token-holding data structures, parse digital tokens to identify attributes, and determine access permission criteria to assign access to computing resources based on these attributes, enabling users to organize and utilize NFTs efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual identification of NFT traits is used, then users can organize NFTs, but the process is resource-intensive and subjective
Solution Approach 1:
The patent replaces manual trait identification with an automated processing system that uses computational methods to parse and analyze NFT data. The system automatically extracts attributes from token metadata and assigns computing resource access permissions, eliminating the need for manual intervention while maintaining accurate organization.
Solution Approach 2:
The NFTs themselves carry their own identification data in their metadata structures. The system reads and processes this self-contained information to automatically determine traits and assign permissions, allowing the NFTs to essentially organize themselves without human intervention.
2Productivity
If automated attribute parsing is implemented, then resource consumption decreases, but system complexity increases
Solution Approach 1:
The patent introduces a validation mechanism as an intermediary layer between the NFT data and the computing resource access decisions. This validation system standardizes the parsing process and manages the complexity of attribute recognition, making the overall system more manageable while maintaining high processing efficiency.
Solution Approach 2:
The system changes the parameters of data representation by standardizing NFT metadata formats and creating a unified schema for attribute recognition. This parameter standardization simplifies the parsing process and reduces system complexity by providing consistent data structures for processing.
3Adaptability or versatility
If access permissions are assigned based on NFT attributes, then user access management is enhanced, but measurement precision requirements increase
Solution Approach 1:
The access permission system is designed to be dynamic, allowing permissions to be automatically adjusted based on changing NFT attributes and validation results. The system can adapt to different attribute types and validation criteria without requiring manual reconfiguration, providing flexible access control while maintaining precise attribute measurement through automated validation.
Data Source
AI summary
Systems and methods of the present disclosure establish a connection with a distributed data network configured to maintain token-holding data structures storing digital tokens for users utilizing client devices. One or more first digital tokens may be accessed, where the first digital tokens are maintained by a first token-holding data structure associated with a first user. The first user may utilize a first client device to access the distributed data network. The first digital tokens may be parsed to identify attributes of the first digital tokens and access to one or more computing resources is assigned to the first client device based on the one or more attributes.