Trust Score Encapsulation for Scalable Message Integrity Validation
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Solution Overview
Problem
Existing communication systems lack efficient methods for scalable integrity encapsulation, particularly in ensuring data trustworthiness and security across diverse operating environments and communication networks.
Innovation Solution
A method involving redundant controllers in communication modules that generate and validate trust scores based on configuration profiles, ensuring data integrity and security by performing redundant validation processes and generating trust score containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant validation processes are performed by multiple controllers to ensure data integrity, then reliability of data trustworthiness is improved, but device complexity increases
Solution Approach 1:
The system divides the validation task into separate segments handled by different controllers. Each controller independently validates specific portions of incoming data streams according to its assigned configuration profile, rather than requiring all controllers to perform all validation checks. This segmentation maintains reliability through distributed validation while reducing overall system complexity.
Solution Approach 2:
The configuration profile serves as a universal template that can be applied across multiple controllers and data streams. By defining validation rules, metrics, and trust score calculations in a reusable configuration profile format, the system enables multiple controllers to perform consistent validation functions without requiring duplicate complex configurations, thus reducing device complexity while maintaining reliability.
2Measurement precision
If comprehensive metrics and trust scores are calculated for all data streams, then measurement precision of data integrity is improved, but loss of time in processing increases
Solution Approach 1:
The system performs partial validation by calculating trust scores based on only the most relevant metrics for each specific data stream type, as defined in the configuration profile. Rather than computing all possible metrics for every data stream, the configuration profile specifies which metrics are necessary, allowing the system to achieve sufficient measurement precision without the time cost of comprehensive analysis of all potential metrics.
Solution Approach 2:
The configuration profiles are prepared in advance with pre-defined metrics, thresholds, and validation rules for different data stream types. This preliminary configuration allows controllers to immediately apply appropriate validation logic without performing time-consuming analysis of what metrics to calculate, thus reducing processing time while maintaining measurement precision through pre-planned validation strategies.
3Loss of information
If trust score containers include detailed validation results from all controllers, then information completeness is improved, but volume of data transmitted increases
Solution Approach 1:
The system extracts only the essential validation information needed for trust assessment into the trust score container, rather than including complete detailed results from all controllers. The configuration profile specifies which validation metrics and trust score components are necessary, allowing the system to remove extraneous data while preserving the completeness of information required for accurate trust evaluation.
Solution Approach 2:
Instead of including all validation details and then filtering, the system inverts the approach by defining what information should be included in the trust score container through configuration profiles, and automatically excluding everything else. This inversion allows the system to maintain information completeness for essential validation results while naturally limiting data container size by design rather than by post-processing filtering.
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.