Token Metadata Ledger Split for Private Compliant Asset Trading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient and compliant platform for creating and trading digital securities representing real assets, such as real estate, while maintaining transaction privacy and adhering to securities regulations.
Innovation Solution
A transaction platform with semi-redundant ledgers that synchronize a primary ledger storing personally identifiable information and a secondary ledger on a blockchain, allowing anonymous trading of tokenized assets, with automated capitalization table updates and smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a centralized ledger stores all transaction data with personally identifiable information, then transaction privacy is compromised, but data completeness and regulatory compliance are maintained
Solution Approach 1:
The system divides the ledger into two separate ledgers: a public ledger that stores transaction data without personally identifiable information (maintaining privacy) and a private ledger that stores personally identifiable information separately (maintaining compliance). This segmentation allows the system to simultaneously protect transaction privacy while preserving regulatory compliance capabilities.
Solution Approach 2:
The system introduces an intermediary mechanism that links the public and private ledgers through cryptographic references without directly exposing personally identifiable information in the public domain. This intermediary approach enables the system to maintain both privacy and compliance by allowing verification of transaction authenticity without revealing sensitive personal data.
2Measurement precision
If manual capitalization table management is used, then data accuracy is maintained through human review, but time consumption and operational efficiency are reduced
Solution Approach 1:
The system implements automated capitalization table management that performs updates, validations, and synchronizations automatically without requiring manual human intervention. The system self-corrects and self-validates data through programmed rules and cryptographic verification, maintaining data accuracy while eliminating time-consuming manual processes.
Solution Approach 2:
The system incorporates automated feedback mechanisms that continuously monitor and validate capitalization table data, comparing it against regulatory requirements and internal consistency rules. This feedback loop ensures data accuracy is maintained through automated detection and correction of errors, replacing manual review processes with efficient automated verification.
3Device complexity
If a single ledger system is used, then system complexity is reduced, but functionality and adaptability to different trading requirements are limited
Solution Approach 1:
The system implements a multi-ledger architecture where each ledger serves specific functions: the public ledger handles transparent transaction recording and verification, while the private ledger manages sensitive personal information and regulatory compliance. This multi-functional design allows the system to adapt to different trading requirements and regulatory demands without increasing overall complexity, as each ledger is optimized for its specific purpose.
Data Source
AI summary
In certain aspects of the disclosure, a computer-implemented method includes associating a token with a token identification and associating the token identification with corresponding metadata of the token. The method includes updating and logging changes in the metadata as attributes evolve. The method includes updating token value based on the changes and publishing a real-time token value with selected information about the changes.