Image-Based Human Authentication System for Bot Detection
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Solution Overview
Problem
Current human authentication methods, such as CAPTCHA, face challenges in distinguishing humans from bots effectively, leading to security issues like unsolicited emails and Distributed Denial of Service attacks, and lack efficient mechanisms for user data collection and social networking integration.
Innovation Solution
A method that involves scanning images of human authentication tests using image capture devices, sending them to an authentication server for analysis, and displaying authentication text, while also providing promotional and educational information, and social networking options, with the server using pattern recognition algorithms or database queries to determine authentication text and collect user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CAPTCHA methods are used to distinguish humans from bots, then security against automated attacks is improved, but user experience and ease of operation deteriorate due to difficulty in resolution
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between the user and the authentication challenge. Instead of directly presenting difficult CAPTCHA puzzles to users, the system uses image capture devices and pattern recognition algorithms to create adaptive authentication challenges that are easier for humans to solve while maintaining security against bots.
Solution Approach 2:
The system dynamically changes the parameters of authentication challenges based on user behavior patterns, device characteristics, and risk assessment. By adjusting difficulty levels, challenge types, and verification thresholds, the system maintains high security while adapting to individual user capabilities, thereby improving ease of operation without compromising reliability.
2Reliability
If image-based authentication tests are implemented, then authentication capability is improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent extracts the complex pattern recognition and image analysis functions from the client device and relocates them to server-based authentication systems. The client device only needs to capture images and transmit them, while the heavy computational workload of analyzing authentication patterns is performed remotely, reducing local device complexity while maintaining strong authentication capability.
Solution Approach 2:
The system replaces traditional mechanical or manual authentication methods with automated image capture and digital pattern recognition. By substituting physical interaction mechanisms with electronic image processing and algorithmic analysis, the system achieves more reliable authentication while managing complexity through software-based solutions rather than hardware complexity.
3Measurement precision
If pattern recognition algorithms are used for authentication analysis, then accuracy in distinguishing humans from bots is improved, but processing time and computational energy consumption worsen
Solution Approach 1:
The patent implements a multi-stage authentication process where pattern recognition algorithms perform partial analysis initially to quickly filter obvious cases, and only apply more computationally intensive analysis when needed. This selective approach maintains high authentication accuracy while reducing average processing time by avoiding excessive computation for straightforward authentication scenarios.
Solution Approach 2:
The system performs preliminary actions by pre-processing images and extracting key features before applying complex pattern recognition algorithms. By preparing data in advance and identifying salient characteristics upfront, the system reduces the computational burden during the actual authentication decision-making process, thereby decreasing processing time while preserving accuracy.
4Productivity
If additional features like promotional information and social networking integration are added, then user engagement and data collection capability are improved, but system complexity and security risks worsen
Solution Approach 1:
The patent integrates multiple functions including authentication, promotional content delivery, social networking, and data collection into a single unified platform. By making the system universal and multi-functional, it achieves high user engagement and productivity while managing complexity through integrated architecture rather than separate independent systems, reducing overall system complexity despite the diverse capabilities.
Data Source
AI summary
An approach is described of facilitating resolution of a human authentication test. The approach may facilitate user completion of a human authentication test having at least one image while preserving security against bots. A method pertaining to such approach may include facilitating scanning of at least one image of a human authentication test from an interface of a client application. The human authentication test may be received from an image server of an authentication server system for display via the interface of the client application. The at least one image may be scanned via an image capture device. The method further may include sending to an authentication server of the authentication server system the at least one image. The method further may include receiving from the authentication server authentication text corresponding to the at least one image and displaying the authentication text.