Behavior-Based Trust Orchestrator for Mixed-Environment Communications

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Solution Overview

Problem

Existing systems lack the ability to dynamically manage and recover trust in mixed environment communications, particularly in IoT devices and drones, making it difficult to determine if a network switch is due to normal behavior or compromise, and to assess the trustworthiness of alternate communication routes.

Innovation Solution

A trust orchestrator platform that provides adaptive trust management by learning and monitoring device behaviors, adjusting trust levels based on context, and implementing actions to maintain or rebuild trust, using data-driven models and machine learning to identify anomalies and facilitate secure communication paths.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing systems use static trust management, then system simplicity is maintained, but adaptability to changing network conditions and device behaviors is insufficient

Engineering Contradiction:

Improveadaptability to changing network conditionsVSAvoidtrust management system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic trust management by continuously monitoring device behaviors and updating trust scores in real-time based on observed network conditions and communication patterns, allowing the system to adapt to changing environments without requiring manual reconfiguration

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where trust scores and device behaviors are continuously monitored and fed back into the trust management algorithm, enabling iterative improvement and adaptation to evolving network conditions through automated learning from observed data

Inventive Principle:

Principle #23Feedback

2Measurement precision

If the system implements comprehensive trust monitoring and analysis, then trust assessment accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvetrust assessment accuracyVSAvoidtrust evaluation processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-establishing baseline trust scores and monitoring thresholds, allowing rapid comparison of current device behaviors against predefined criteria to quickly identify anomalies without requiring complex real-time analysis from scratch

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces computationally intensive manual trust assessment with automated machine learning algorithms and statistical models that can rapidly evaluate trust levels based on patterns in network traffic and device behavior data, reducing processing time while maintaining accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Extent of automation

If the system automatically performs trust recovery actions, then user interaction requirements are reduced, but control over trust management decisions is limited

Engineering Contradiction:

Improvetrust recovery automation levelVSAvoiduser control over trust decisions

Core Design Contradiction:

Extent of automationVSEase of operation

Solution Approach 1:

The trust management system performs self-service by automatically detecting trust failures, analyzing root causes, and executing recovery actions without requiring manual user intervention, thereby reducing operational burden while maintaining adaptive decision-making capabilities

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system segments trust management into distinct functional modules including monitoring, assessment, decision-making, and recovery actions, allowing automated execution of specific recovery tasks while preserving user ability to override or configure trust policies as needed

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250267453A1Method and system for adaptive trust recovery in mixed environment communications

Publication Date: 2025.08.21 AT&T GLOBAL NETWORK SERVICES BELGIUM LUXEMBOURG SPRL

AI summary

Aspects of the subject disclosure may include, for example, detecting communications between a source device and a destination device, wherein the communications relate to a particular context and are facilitated over a first network associated with the destination device, determining a state or trust level for the particular context based on reference data, detecting a change in behavior of the source device, updating the state or trust level based on the detecting the change in behavior of the source device, resulting in an updated state or trust level, identifying a loss of trust condition based on the updated state or trust level, restricting communications between the source device and the destination device, and performing a trust rebuild process in an attempt to address the loss of trust condition and to enable the source device to resume communications with the destination device. Other embodiments are disclosed.