Image Validation via Embedded Signed Tokens

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Solution Overview

Problem

In a networked environment with digital interactions, it is challenging to determine the trustworthiness and accuracy of data, particularly images, due to the ease of manipulation and alteration, which can lead to the spread of disinformation and misinformation, making it impractical for humans to validate billions of digital interactions in real-time.

Innovation Solution

A multi-layer verification process is implemented, including digital certificates, hash validation, and metadata verification, where a publisher's digital certificate is used to generate a digitally signed token embedded in the image using steganography, allowing for real-time validation of image authenticity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual validation of images is performed, then accuracy and trustworthiness of image data can be verified, but the process becomes impractical when dealing with billions of digital interactions in real-time

Engineering Contradiction:
Improveimage validation accuracyVSAvoidvalidation throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual mechanical validation processes with automated digital verification systems. Digital certificates, cryptographic hashes, and metadata validation algorithms automatically verify image authenticity and trustworthiness, enabling real-time processing of billions of interactions without human intervention.

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

Solution Approach 2:

The validation system performs self-verification through embedded digital certificates and hash values. The image validation process is autonomous, where the system validates images against stored cryptographic references without requiring external manual verification, enabling scalable real-time validation.

Inventive Principle:
Principle #25Self-service

2Reliability

If digital certificates and cryptographic validation are implemented, then image trustworthiness and authenticity can be verified, but system complexity increases

Engineering Contradiction:
Improveimage trustworthinessVSAvoidvalidation system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The validation system is divided into distinct modular components: digital certificate verification module, hash validation module, metadata verification module, and steganography embedding module. Each component handles a specific validation task independently, making the complex system manageable and maintainable while ensuring comprehensive image authentication.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces digital certificates as intermediary elements that mediate between image creators and validators. These certificates act as trusted third-party credentials that simplify the verification process by pre-establishing authenticity claims, reducing the complexity of direct peer-to-peer validation.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If digitally signed tokens are embedded in images using steganography, then real-time validation capability is enabled, but image manipulation resistance must be maintained

Engineering Contradiction:
Improvevalidation timeVSAvoidimage manipulation
Core Design Contradiction:
Loss of timeVSObject-affected harmful factors

Solution Approach 1:

The validation information is embedded locally within specific regions of the image using steganography, particularly in less visible areas or at lower bit depths that do not affect overall image quality. This localized embedding allows rapid extraction and validation while maintaining the image's resistance to manipulation, as the embedded data remains hidden within the image structure.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system performs validation checks beforehand by embedding cryptographic hashes and digital certificates within the image before distribution. This pre-positioning of validation data allows for rapid real-time verification without requiring complex analysis during validation, cushioning against manipulation attempts by having verification data already in place.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

Data Source

PatentUS12088739B2Validation of images via digitally signed tokens
Publication Date: 2024.09.10 DIGICERT INC
  • US12088739B2 patent drawing
  • US12088739B2 patent drawing
  • US12088739B2 patent drawing

AI summary

Features are disclosed for the validation of an image and the verification of the validation of a validated image. A computing device can receive a request to validate an image. The computing device can validate the image and generate a validated image. The computing device may embed a signed token in the validated image. The signed token may include a digital certificate associated with a publisher of the image, a hash of a portion of the image, and metadata associated with the image. The computing device may store the hash of the portion of the image on a blockchain and provide the validated image. A client computing device may verify the validation of the validated image using the digital certificate, the hash of the portion of the image stored in the signed token, the hash of the portion of the image stored on the blockchain, and the metadata.