Image Orientation Matching Authentication System
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Solution Overview
Problem
Current authentication systems, such as CAPTCHA, are often frustrating for human users while being easily bypassed by sophisticated automated agents, failing to effectively distinguish between human and automated access to computer resources.
Innovation Solution
An authentication challenge system that presents challenges requiring real-world experience, such as image recognition tasks with ambiguous images, making it difficult for automated agents to pass while being manageable for humans, coupled with a value server and authentication controller to manage and evaluate user responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CAPTCHA systems are used for authentication, then automated access can be blocked, but human users experience frustration and difficulty
Solution Approach 1:
The system changes the parameter of challenge difficulty by using image orientation matching tasks that are naturally intuitive for humans (recognizing correct orientation of objects like text, logos, or images) while remaining difficult for automated agents to solve reliably. This parameter change resolves the contradiction by making authentication effective against bots without creating frustration for human users.
2Reliability
If sophisticated authentication challenges are implemented to block automated agents, then security improves, but the complexity of the system increases
Solution Approach 1:
The system replaces complex mechanical or algorithmic authentication mechanisms with a simpler image orientation matching task. Instead of using sophisticated challenge-generation algorithms or multiple authentication steps, the system uses a single intuitive task (rotating or selecting images in the correct orientation) that is easy to implement and evaluate while maintaining high security effectiveness against automated agents.
3Speed
If automated authentication systems are used, then access speed is improved, but unauthorized automated access becomes easier
Solution Approach 1:
The system segments the authentication process by presenting discrete image orientation challenges that must be solved individually. Each challenge consists of multiple image segments or elements that need to be correctly oriented or selected, creating a multi-step verification process that maintains speed for legitimate users while preventing automated bulk access attempts.
Data Source
AI summary
A method of securing a computer resource against unauthorized access includes sending, by a processing device, a challenge data structure to a user computer system, obtaining a user response representing at least one user-selected image from the plurality of images, and providing access to the computer resource for the user computer system based on whether the at least one user-selected image is consistent with the one or more correct images. The challenge data structure defines a challenge to be presented to a user of the user computer system. The challenge involves selecting one or more correct images that conform to one or more aspects of a challenge key from a plurality of images based on a relative orientation with respect to one another of elements within the plurality of images.