Machine-to-Machine Verification Using Quantum Sensing and Hash Mismatch

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Solution Overview

Problem

Existing machine-to-machine communication systems lack effective multi-factor verification methods to ensure security and integrity, particularly in the face of unauthorized access or network interruptions, leading to undesirable results.

Innovation Solution

A computing platform uses quantum sensors to detect communication patterns, generates hashes or tokens based on communication methods and protocols, and initiates multi-factor verification processes when discrepancies are detected, including false fingerprints, test messages, quantum encryption, and third-party communication tests to validate device integrity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multi-factor verification processes are implemented in machine-to-machine communication, then communication security and integrity are improved, but system complexity and processing time increase

Engineering Contradiction:

Improvecommunication securityVSAvoidverification system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by detecting communication patterns and generating baseline hashes before actual communication occurs. This allows the system to establish expected communication behaviors in advance, enabling faster verification during actual interactions without adding real-time complexity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Hash values serve as intermediaries that represent complex communication patterns in a simplified form. Instead of directly comparing entire communication sequences, the system uses hashes as mediators to verify communication integrity, reducing computational complexity while maintaining security.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If hash comparison and multi-factor verification are performed for every communication interaction, then detection precision of unauthorized access is improved, but processing speed and productivity decrease

Engineering Contradiction:

Improvedetection precisionVSAvoidcommunication processing speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system applies partial verification by performing hash comparison on selected communication interactions rather than every single interaction. This selective approach maintains high detection precision for suspicious activities while preserving processing speed for normal, expected communication patterns.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

Verification is performed periodically based on detected patterns rather than continuously for every interaction. The system monitors communication patterns over time and applies verification at intervals or when anomalies are detected, balancing precision with processing efficiency.

Inventive Principle:

Principle #19Periodic action

3Reliability

If communication is paused for verification when hash mismatch occurs, then reliability of security verification is improved, but loss of communication time increases

Engineering Contradiction:

Improveverification reliabilityVSAvoidcommunication interruption time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system takes preliminary anti-action by pausing communication immediately when a hash mismatch is detected, preventing potential security breaches before they can propagate. This immediate response prioritizes security reliability while minimizing the window of vulnerability.

Inventive Principle:

Principle #9Preliminary anti-action

Solution Approach 2:

The system uses feedback from hash comparison results to dynamically control communication flow. When mismatches are detected, feedback triggers verification processes; when matches occur, communication continues uninterrupted. This feedback-driven approach minimizes unnecessary pauses while maintaining security.

Inventive Principle:

Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Ensures secure and reliable machine-to-machine communication by detecting and mitigating unauthorized access, maintaining communication integrity, and enabling real-time anomaly detection and response.

Implementation Method 1

a computing platform may detect, via one or more quantum sensors, a pattern of communication between a first computing device

Methodology Applied

Scientific EffectQuantum sensing:

Data Source

PatentUS20260032127A1Multi-Factor Verification in Machine-to-Machine Data Exchange

Publication Date: 2026.01.29 BANK OF AMERICA CORP

AI summary

Arrangements for providing machine-to-machine multi-factor verification are provided. In some examples, a computing platform may detect via one or more quantum sensors, a first communication interaction between a first computing device and a second computing device. The computing platform may generate, for the first interaction, a hash of the first interaction. The hash may then be stored by the computing platform. The computing platform may detect, via the quantum sensors and at a subsequent time, a second communication interaction between the first computing device and the second computing device. The computing platform may generate a hash of the second interaction and may compare the hash of the first interaction to the hash of the second interaction. If the hashes do not match, the computing platform may pause communication between the first computing device and the second computing device and may execute one or more machine-to-machine multi-factor verification processes.