Blockchain Trust Matrix for Computing Component Authentication
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Solution Overview
Problem
Existing computing applications face challenges in determining the trustworthiness of reused components for different functions and purposes, especially in complex environments where interoperability and authentication are difficult, leading to issues with integrating new components with existing systems.
Innovation Solution
A computer-implemented method and system that utilize a development framework with graphs and blueprints to determine trust levels for components, involving a trust matrix, digital certificates, and blockchain updates to authenticate and verify the suitability of components for specific functions and purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If components are reused for different functions or purposes, then productivity and flexibility of computing application development are improved, but reliability and trustworthiness of component performance become difficult to guarantee
Solution Approach 1:
The patent implements a feedback mechanism where trust levels are continuously evaluated and updated based on component performance data collected from multiple sources including security authorities and usage monitoring. This feedback loop ensures that reused components maintain reliability metrics that are visible and verifiable throughout their lifecycle across different functions and applications.
Solution Approach 2:
The patent introduces an intermediary trust evaluation system that acts as a mediator between component providers and users. This intermediary system collects, validates, and aggregates trust information from multiple security authorities and usage sources, then provides comprehensive trust level assessments that enable reliable component reuse across different functions without requiring direct verification between all parties.
2Adaptability or versatility
If multiple computing applications and systems are integrated, then adaptability and functionality are improved, but difficulty of authentication and verification increases
Solution Approach 1:
The patent implements a universal trust evaluation framework that can assess components across multiple functions, purposes, and security domains simultaneously. The trust level system is designed to be function-agnostic, providing consistent authentication and verification mechanisms that work across diverse computing applications and integrated systems without requiring function-specific verification protocols.
Solution Approach 2:
The patent combines multiple authentication and verification mechanisms into a unified trust evaluation system. By merging trust assessments from different security authorities, usage data sources, and verification methods into a single integrated trust level metric, the system simplifies authentication complexity while maintaining comprehensive security verification across integrated computing applications.
3Measurement precision
If trust levels are determined through multiple security authorities and data sources, then measurement precision of component suitability is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent segments the trust evaluation process into distinct modular components: data collection from multiple sources, individual trust metric calculation, aggregation of metrics, and final trust level determination. Each security authority and data source is processed as a separate module, allowing the system to maintain high measurement precision through comprehensive data gathering while managing complexity through structured segmentation of the evaluation workflow.
Solution Approach 2:
The patent implements a tiered trust evaluation approach where not all data sources and security authorities are processed with equal depth for every component. The system applies partial evaluation for routine components with established trust histories, processing only essential data sources, while applying full comprehensive evaluation only when necessary. This selective processing maintains high accuracy for critical assessments while reducing overall system complexity and processing overhead.
Data Source
AI summary
Systems and methods for determining trust levels for components of a computing application using a blockchain. The system may include a development framework, a trust matrix, a trust level calculation module, a visual design subsystem, and a deployment subsystem, where trust levels are associated with components, combinations of components, graphs, and blueprints, where trust levels relate to categories of use.