3D Challenge-Response Tests for Bot Detection
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Solution Overview
Problem
Advanced bots can defeat traditional CAPTCHAs, making it necessary to develop more complex challenge-response tests to effectively distinguish human users from non-human entities accessing electronic resources.
Innovation Solution
An automated, interactive challenge-response system utilizing a digital model of a three-dimensional (3D) environment, where users adjust a virtual camera's perspective to meet test conditions, such as viewing specific elements within the environment, to determine human access privileges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CAPTCHAs are used to distinguish human users from bots, then implementation simplicity is maintained, but effectiveness against advanced bots deteriorates
Solution Approach 1:
The patent transitions from traditional 2D CAPTCHA elements (distorted text, static images) to a 3D virtual environment where users navigate spatial scenes. This dimensional escalation creates tasks that are trivial for humans but computationally complex for bots, effectively resolving the contradiction between reliability and complexity.
Solution Approach 2:
The CAPTCHA test evolves from static image recognition to dynamic navigation tasks where users must move virtual cameras, adjust perspectives, and interact with moving elements in 3D space. This dynamic nature increases difficulty for automated systems while remaining intuitive for human users.
2Reliability
If complex challenge-response tests are implemented to defeat advanced bots, then security effectiveness improves, but ease of operation deteriorates
Solution Approach 1:
The 3D virtual environment serves multiple functions simultaneously: it provides the challenge interface, tracks user interactions, validates responses, and determines authentication outcomes. This multi-functionality consolidates complex security operations into a single intuitive navigation task, maintaining ease of operation while enhancing security.
Solution Approach 2:
The system automatically generates and evaluates navigation tasks within the 3D environment without requiring external intervention. Users simply navigate to target locations, and the system self-validates their responses by checking whether they reached the correct positions, eliminating complex manual verification processes.
3Measurement precision
If 3D environment navigation tests are used to distinguish humans from bots, then differentiation accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces a virtual camera as an intermediary tool that mediates between the user and the 3D environment. This virtual camera handles complex rendering and perspective calculations, allowing users to interact with simple navigation gestures while the system manages the computational complexity of 3D transformations and scene rendering.
Data Source
AI summary
The present disclosure provides a challenge-response testing systems for distinguishing between human users and bots. When a user requests to access an electronic resource on a computing device, the computing device identifies a challenge-response test for the user to complete. As part of the test, the computing device renders a first view of a 3D environment on a digital display. The computing device notifies the user of a test condition to complete. To satisfy the test condition, the user has to provide input that will effect a specified change to the view of the 3D environment seen on the display. Once the user provides electronic input, the computing device updates the viewing perspective of the 3D environment and renders an updated view on the digital display. When the user submits an indication that the test has been completed, the computing device verifies whether the test condition has been satisfied.