Secure Token Update for Carbon Credit Asset Transactions
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Solution Overview
Problem
Current computer systems lack efficient methods for risk analysis and secure token updating in contingent asset transactions, particularly in scenarios involving contingent assets with uncertain liabilities and complex valuation processes.
Innovation Solution
A computing system that utilizes a blockchain-based framework to manage contingent assets, where risk levels are determined through aggregate analysis of various parameters, and secure tokens are updated based on contingency status changes, facilitating secure and transparent transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain-based framework is used to manage contingent assets, then security and transparency of transactions are improved, but device complexity increases
Solution Approach 1:
The patent introduces a computing system as an intermediary that manages contingent assets on behalf of users. This intermediary handles the complex blockchain operations, risk analysis, and token management, shielding users from the underlying system complexity while maintaining security and transparency through blockchain technology.
Solution Approach 2:
The system implements continuous risk analysis that monitors contingent asset parameters and provides feedback for updating secure tokens. This feedback mechanism ensures transactions remain secure and transparent while automating the management complexity, reducing the burden on users despite the sophisticated blockchain framework.
2Measurement precision
If risk levels are determined through aggregate analysis of various parameters, then measurement precision of risk assessment is improved, but computing resources and time increase
Solution Approach 1:
The system performs preliminary risk analysis by pre-establishing risk parameters and thresholds for contingent assets. This preliminary action allows the system to quickly assess risk levels during transactions without conducting full aggregate analysis each time, reducing computational time while maintaining assessment accuracy through pre-configured parameters.
Solution Approach 2:
The patent dynamically adjusts risk assessment parameters based on the specific contingent asset and transaction context. By changing parameters adaptively rather than using fixed comprehensive analysis for all cases, the system achieves precise risk measurement while optimizing computational resources and reducing processing time.
3Reliability
If secure tokens are updated based on contingency status changes, then reliability of asset representation is improved, but frequency of updates increases system overhead
Solution Approach 1:
The system implements periodic monitoring of contingency status changes rather than continuous updating. Secure tokens are updated at specific intervals or triggered by discrete status change events, ensuring reliable asset representation while avoiding excessive updates that would reduce transaction efficiency and increase system overhead.
Data Source
AI summary
A method executed by a computing entity includes obtaining, in accordance with a securely passing process, control over a secure first token representing a first pending transaction associated with a transaction item. The method further includes obtaining a selection of a first subset of instant assets of a set of candidate instant assets that may be utilized to subsequently provide conversion of a selected carbon credit asset to complete the first pending transaction. The method further includes generating an updated secure first token in accordance with the securely passing process to represent the selection of the first subset of instant assets of the set of candidate instant assets to subsequently provide the conversion of the selected carbon credit asset to complete the first pending transaction.