Stochastic Image Authentication for Secure Access Token Use

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Solution Overview

Problem

Existing authentication methods for network access tokens are vulnerable to malicious attacks and require storage of user-specific images, raising privacy concerns and increasing data storage needs.

Innovation Solution

Utilize artificial intelligence models to generate stochastic images based on user account details, allowing secure token authentication without storing user images, and enhance distinguishability between tokens using stochastic models that are harder to replicate.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If user-specific images are stored for authentication, then authentication reliability is improved, but data storage requirements increase and privacy concerns arise

Engineering Contradiction:
Improveauthentication reliabilityVSAvoiddata storage requirements
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent creates a copy of the user-specific image through AI generation. The system generates a synthetic image that replicates the authentication properties of the original user image without storing the actual user data. This allows authentication to proceed using the generated copy, thereby maintaining reliability while reducing storage of sensitive information.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces an AI image generation model as an intermediary between the authentication system and user data. Instead of directly storing and using user images, the system uses the AI model to generate equivalent authentication images from non-sensitive user account details, acting as a mediator that preserves authentication reliability while eliminating the need to store sensitive user images.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If static authentication methods are used, then ease of operation is maintained, but security against malicious attacks deteriorates

Engineering Contradiction:
Improveease of authenticationVSAvoidsecurity against attacks
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent transforms the static authentication image into a dynamic one by using AI generation. The authentication image is no longer a fixed static file but is dynamically generated based on user account details. This dynamic approach maintains ease of operation for legitimate users while significantly improving security against malicious attacks, as the generated images are harder to replicate or predict.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameters of the authentication system by moving from static image files to dynamically generated images with varying parameters. The AI model generates images with different stochastic parameters each time, making the authentication process more secure while maintaining operational simplicity for users through consistent user-friendly interfaces.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If AI-generated stochastic images are used for authentication, then security is improved, but image generation complexity increases

Engineering Contradiction:
Improveauthentication securityVSAvoidimage generation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the complex AI image generation process into a separate, dedicated component. The complexity of generating stochastic authentication images is isolated in the AI model module, separate from the main authentication flow. This extraction allows the security benefits of stochastic image generation to be achieved while managing complexity through modular design, where the generation complexity is contained in a specialized component rather than distributed throughout the system.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12598072B2Facilitating token use authentication for access tokens using stochastic images
Publication Date: 2026.04.07 CAPITAL ONE SERVICES LLC
  • US12598072B2 patent drawing
  • US12598072B2 patent drawing
  • US12598072B2 patent drawing

AI summary

Methods and systems are described herein for facilitating token use authentication for access tokens using stochastic images. The system may detect an authentication request to authenticate use of an access token. The access token may be associated with a first image previously displayed to an authenticated user of the access token. The system may retrieve the first image previously displayed to the authenticated user and input parameters previously used to generate the first image. The system may obtain, from a stochastic machine learning model based on the input parameters, a second image different from the first image. The system may generate, for display, an image set including the first image and the second image and may receive a selection of the first image from the image set. The system may then grant the authentication request based on the selection of the first image.