Integrity Encapsulation with Trust Scores for Untrusted Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication systems lack scalable integrity encapsulation methods to ensure secure and reliable data transmission across untrusted networks, particularly in scenarios where data integrity, authentication, and trustworthiness verification are critical.
Innovation Solution
A method involving redundant controllers in communication modules to perform multiple validation processes and generate trust scores based on configuration profiles, ensuring secure and reliable data transmission by generating redundant signals and trust score containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple validation processes are performed by redundant controllers to ensure data integrity, then reliability is improved, but device complexity increases
Solution Approach 1:
The validation process is segmented into multiple independent validation operations performed by separate redundant controllers. Each controller validates specific aspects of the data stream according to configuration profiles, allowing parallel validation without requiring a single complex controller to handle all validation logic.
Solution Approach 2:
Different controllers are assigned different validation functions and configuration profiles based on their capabilities and the specific requirements of different data streams. This allows each controller to be optimized for its specific validation task rather than requiring all controllers to have identical complex functionality.
2Measurement precision
If trust score containers include comprehensive validation results from multiple controllers, then measurement precision is improved, but volume of data increases
Solution Approach 1:
The patent extracts only the essential trust score values and critical validation indicators from the comprehensive validation results, removing redundant or less important data. This allows the trust score container to maintain high measurement precision while reducing the overall volume of data that needs to be transmitted and processed.
Solution Approach 2:
Instead of including all validation details and then filtering, the system inverts the approach by defining a compact trust score structure first and then populating it with only the necessary validation metrics that contribute to accurate trust assessment, thereby achieving precision without bloat.
Data Source
AI summary
A method includes, at a first communication module: receiving a first message from a second communication module, the first message including a set of data in a first data stream from a first device; accessing a first configuration profile, in a set of configuration profiles, for the first data stream based on the first data stream identifier; generating a set of metrics for the first message; calculating a set of trust scores for the first message based on the set of metrics and the first configuration profile; generating a second message including the set of data and the set of trust scores; and transmitting the second message to a second device.


