Embedded Integrity Monitoring Architecture for Real-Time Anomaly Enforcement

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Solution Overview

Problem

Existing integrity monitoring systems for embedded systems rely on linear communication orbits and local databases, which are insufficient for protecting against corruption from common and ubiquitous data exchanges and messaging, and do not provide real-time protection.

Innovation Solution

A system for monitoring embedded system integrity that compiles offline data into registration objects, measures against predetermined benchmarks using a behavior, constraint, and test data database, and takes mitigative action through a reporter and enforcement component.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If passive observation of communication patterns is used, then real-time integrity monitoring is achieved, but system complexity increases

Engineering Contradiction:
Improveintegrity monitoringVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary integrity monitoring system that passively observes communication patterns between system components. This mediator component analyzes message exchanges, data flows, and communication protocols without actively participating in or controlling the monitored systems, thereby achieving real-time integrity monitoring while maintaining operational independence and minimizing system complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional active monitoring mechanisms (such as polling, event-driven monitoring requiring system participation, or intrusion detection) with a passive observation approach. By substituting mechanical interaction with observational analysis of communication patterns, the system achieves real-time monitoring capability without requiring system participation or coordination, thus reducing complexity while improving reliability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If offline data compilation is performed, then measurement against benchmarks is enabled, but real-time detection capability is reduced

Engineering Contradiction:
Improvebenchmark measurementVSAvoidreal-time detection
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The patent performs preliminary actions by compiling offline data and establishing benchmarks before real-time monitoring begins. The system pre-processes historical data, defines expected behavior patterns, and creates reference benchmarks that enable rapid real-time comparison. This preliminary preparation allows the system to achieve both precise measurement against established benchmarks and fast real-time detection by simply comparing current observations against pre-defined expectations

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a dynamic monitoring approach where the system transitions between offline data compilation mode and online real-time observation mode. The benchmarks established offline are dynamically applied to real-time communication patterns, allowing the system to adapt pre-defined measurement criteria to live data streams. This dynamic switching enables the system to maintain both measurement precision through benchmark comparison and real-time detection capability

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260044406A1Embedded system integrity monitoring enforcement architecture
Publication Date: 2026.02.12 THE GOVERNMENT OF THE UNITED STATES AS REPRESENTED BY THE SECRETARY OF THE AIR FORCE
  • US20260044406A1 patent drawing
  • US20260044406A1 patent drawing
  • US20260044406A1 patent drawing

AI summary

A system embedded in and for monitoring the integrity of a computer architecture. The system receives and compiles offline data into registration objects. A comprehensive database tests multiple parcels of the offline data relative to corresponding benchmarks. A reporter component determines which test results, if any, should be escalated as a warning of anomalous behavior. The reporter component directly communicates with a graphical user interface and an enforcement component. The enforcement component takes mitigative action relative to the external component(s) which are the subject of the warning(s). Preferably a prioritization component is interposed between the database and the reporter. The prioritization component prioritizes the warnings from the database for processing by the reporter component.