Real-Time CAPTCHA Generation for Secure Manual Interaction
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Solution Overview
Problem
Current CAPTCHA generation techniques are inadequate as they do not ensure data integrity, are vulnerable to hacking, and can be complex for users, leading to poor user experience and reliance on third-party services that may be unreliable.
Innovation Solution
A two-layer security system that generates authentication tasks in real-time using user input data, comprising a visual test as the first layer and a CAPTCHA-based security task as the second layer, to differentiate human users from automated software and ensure data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CAPTCHA tests are used to differentiate human users from automated bots, then security against automated software is improved, but user experience deteriorates due to complex and difficult-to-read test patterns
Solution Approach 1:
The patent changes the parameters of CAPTCHA generation by using strong cryptographic algorithms instead of weak random algorithms. This produces unique, unpredictable patterns that are both secure against automated software and easier for humans to read, resolving the contradiction between security and user experience
Solution Approach 2:
The system performs preliminary authentication by generating and verifying CAPTCHA responses before allowing access to protected resources. This preliminary security check ensures that only human users can proceed, maintaining security while using patterns designed to be human-readable
2Adaptability or versatility
If third-party CAPTCHA services are used to provide authentication, then authentication functionality is improved, but system reliability deteriorates due to dependency on external services that may be down
Solution Approach 1:
The patent extracts the CAPTCHA generation and verification functionality from external third-party services and implements it directly within the local system. This eliminates dependency on external services while maintaining authentication functionality, resolving the contradiction between adaptability and reliability
Solution Approach 2:
The system performs self-service by generating and verifying CAPTCHA codes locally using内置 cryptographic algorithms. This self-contained approach eliminates the need for external CAPTCHA services, ensuring system availability while maintaining authentication capabilities
3Productivity
If weak algorithms are used to generate CAPTCHA tests, then generation speed is improved, but security deteriorates as patterns become predictable and vulnerable to hacking
Solution Approach 1:
The patent changes the algorithmic parameters from weak random generation to strong cryptographic generation. This produces unpredictable, secure patterns while maintaining efficient generation speed through optimized cryptographic operations, resolving the contradiction between productivity and security
Solution Approach 2:
The system performs preliminary security hardening by implementing strong cryptographic algorithms for CAPTCHA generation. This preliminary security measure prevents predictable patterns from being generated, protecting against hacking while maintaining generation efficiency
4Productivity
If data integrity checks are not implemented after CAPTCHA verification, then processing speed is improved, but security deteriorates as there is no assurance over data integrity
Solution Approach 1:
The patent implements feedback mechanisms where the system correlates user input data with generated security tasks to verify data integrity. This feedback loop ensures that data has not been tampered with while maintaining processing efficiency through optimized verification procedures, resolving the contradiction between productivity and reliability
Data Source
AI summary
The present invention relates to a system and method for providing a secure manual interaction with one or more electronic devices in a network. An authentication module generates an authentication task to a user to input data using a user interface. The data is processed and a second security module generates security tasks to be responded by the user such that the security tasks are generated in real-time by using the input data fed by the user. A verification module correlates the input data with the security tasks responded by the user in order to check the data integrity before completing the interaction.


