Authenticated Asset Token Management with Dynamic Access Control
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Solution Overview
Problem
Current methods of generating and managing tokens for assets lack reliability, fail to authenticate physical assets, and lack automation for asset tracking, pricing, and access control, leading to uncertainties in token representation and ownership.
Innovation Solution
A system and method for generating and managing tokens for authenticated assets, involving a smart vault that generates tokens based on asset metadata, monitors access events, and updates tokens dynamically using historian entries and feedback, ensuring asset authentication and chain-of-custody verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current methods of generating tokens are used, then token generation is simple, but reliability of token representation and ownership is poor
Solution Approach 1:
The system performs preliminary authentication of physical assets before token generation, creating authenticated asset records that serve as the foundation for reliable token representation. This pre-authentication step ensures that only verified assets can have tokens generated, thereby improving reliability while maintaining manageable complexity through structured preprocessing.
Solution Approach 2:
The patent introduces an intermediary authentication layer between physical assets and digital tokens. This intermediary system verifies asset authenticity, maintains authenticated records, and provides chain-of-custody verification, thereby enhancing token reliability without requiring direct complex integration between physical and digital domains.
2Extent of automation
If manual asset tracking is used, then system complexity is low, but automation of pricing and access control is poor
Solution Approach 1:
The system enables self-service automation where authenticated assets automatically generate pricing information and access control rules based on their metadata and authentication records. The token generation system automatically applies pricing algorithms and access control policies without manual intervention, achieving high automation while managing complexity through rule-based self-service mechanisms.
Solution Approach 2:
The patent implements feedback loops where token access events, pricing data, and usage information are continuously monitored and fed back into the system. This feedback enables dynamic adjustment of pricing and access control automatically, improving automation extent while using the feedback mechanism to streamline rather than complicate the system through data-driven optimization.
3Productivity
If static token generation is used, then generation speed is fast, but real-time adjustments based on feedback are poor
Solution Approach 1:
The system transitions from static to dynamic token generation by implementing rules that can be modified in real-time based on feedback. Token generation rules, pricing parameters, and access control policies are made dynamic, allowing the system to adapt quickly to changing conditions while maintaining efficient generation speeds through pre-configured dynamic rule structures.
Solution Approach 2:
The patent ensures continuous token generation and adjustment by implementing an always-on monitoring system that processes feedback continuously. Rather than batch processing, the system maintains continuous operation for token generation, pricing adjustments, and access control updates, thereby preserving high productivity while enabling real-time adaptability through uninterrupted feedback processing.
Data Source
AI summary
Features described herein generally relate to systems and methods for generating and managing tokens for authenticated assets. In some aspects, generating a token is performed according to one or more rules and includes generating metadata that links the token to a representation of an asset. In some other aspects, tracking token access includes monitoring a blockchain for token access events and generating a token based on a modified historian and received feedback. In other aspects, validating a token for an authenticated asset includes matching representations of the authenticated asset.