Stochastic Image Authentication Without Stored User Images
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Solution Overview
Problem
Existing authentication systems require users to remember passwords and pin codes, which can be compromised by unauthorized users, and storing user images raises storage and privacy concerns.
Innovation Solution
Utilizing stochastic models to generate images based on user account details, displayed alongside other images for authentication, without storing the generated images, making it difficult for malicious actors to predict the correct image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user images are stored for authentication, then authentication can be performed using familiar images, but storage requirements increase and privacy concerns arise
Solution Approach 1:
The system generates stochastic copies of user account information that visually resemble the original data but contain no actual user information. These synthetic images serve as authentication tokens without requiring storage of real user images, thus maintaining authentication convenience while eliminating storage and privacy concerns
Solution Approach 2:
A stochastic model acts as an intermediary between user account information and authentication images. The model transforms sensitive account data into synthetic images that preserve recognizable patterns for user identification while removing actual sensitive information, thereby enabling authentication without storing user images
2Ease of operation
If static security details like passwords are used, then authentication is simple, but they can be learned or guessed by unauthorized users
Solution Approach 1:
The system transitions from static passwords to dynamic stochastic images that are generated fresh each authentication attempt. Each image is unique and unpredictable, yet remains recognizable to the account holder through preserved visual patterns, thereby maintaining simplicity while dramatically improving security against prediction and replay attacks
Solution Approach 2:
The authentication mechanism changes from fixed-parameter passwords to variable-parameter stochastic images. The stochastic model introduces randomness in image generation while preserving key visual characteristics, creating authentication tokens that are both simple to recognize and impossible to predict, thus resolving the contradiction between simplicity and security
Data Source
AI summary
Methods and systems are described herein for facilitating token use authentication using stochastic-model-derived images. The system may detect an authentication request to authenticate use of an access token and retrieve operation data associated with the access token. The system may determine, based on the operation data, source data associated with a source of a network operation and alternative source data associated with an alternative source. The system may provide, to a stochastic machine learning model, the source data to obtain a first image for the network operation and the alternative source data to obtain a second image for the network operation. The system may then generate, for display, the first image and the second image and may receive a selection of the first image. Based on the selection of the first image, the system may grant the authentication request.