Digital Field of View Spatial Validation for Data Integrity

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Solution Overview

Problem

Existing methods for maintaining data and software integrity in a dynamically changing digital environment are inadequate, particularly in large-scale digital transformations, as they fail to detect data corruption by insiders and are unreliable due to propagation delays in hash functions, and traditional cryptographic authentication is costly and lacks flexibility.

Innovation Solution

A method involving the conversion of data into a 3D mutated image with strategically placed watermarks, analyzed for data verification, and a spatial representation of the digital field of view using confidential variables to ensure data integrity and manage large data sets efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional cryptographic authentication methods are used for data validation, then data integrity can be verified, but the system becomes costly and inflexible as the digital field of view grows larger

Engineering Contradiction:
Improvedata integrity verificationVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the digital field of view into multiple zones or regions, each with its own validation rules and confidence thresholds. This allows the system to apply different levels of cryptographic authentication to different data elements based on their criticality, reducing overall system complexity while maintaining reliability for critical data.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements local quality by applying different validation strategies to different parts of the digital field of view. High-confidence data elements receive standard cryptographic validation, while low-confidence elements use alternative validation methods. This localized approach reduces the computational burden and system complexity associated with uniform cryptographic authentication across the entire system.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If hash functions are used for data validation in large-scale digital environments, then data changes can be detected, but propagation delays make the validation unreliable

Engineering Contradiction:
Improvedata change detectionVSAvoidvalidation delay
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-computing and caching hash values for data elements before they are actually needed for validation. This allows the system to have validation results ready in advance, eliminating propagation delays when validation is required. The preliminary computation of hash digests ensures that data change detection can occur immediately without time loss.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If companies subject their hardware and software to independent verification testing, then data integrity can be improved, but critical IP is exposed to theft, malware insertion or reverse engineering

Engineering Contradiction:
Improvedata integrityVSAvoidIP theft risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a trusted intermediary layer that performs verification testing without exposing the actual data or intellectual property. This intermediary uses cryptographic techniques to validate data integrity while maintaining confidentiality, allowing companies to improve data reliability without exposing their critical IP to theft or reverse engineering.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent uses copying by creating verified copies of data with embedded cryptographic signatures or watermarks. These copies can be independently validated without exposing the original data, allowing verification testing to proceed while protecting the original IP from theft or malware insertion.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250258752A1Digital field of view
Publication Date: 2025.08.14 HONEYWELL INTERNATIONAL INC
  • US20250258752A1 patent drawing
  • US20250258752A1 patent drawing
  • US20250258752A1 patent drawing

AI summary

A method for validating and sharing of view information for devices in a system is provided. The method includes validating software and hardware instances for the devices in the system; obtaining device identifiers for the devices in the system; generating a spatial representation of a local digital field of view using a confidential variable and/or a spatial representation of an external digital field of view using an external confidential variable from one or more external parties; and exporting the local digital field of view and/or the external digital field of view to another device in the system to represent information about the device in a spatial map.