Media-Based User Validation Questions Against Bot Probing
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Solution Overview
Problem
Existing captcha systems are vulnerable to automated bots due to predefined content and questions, which can be easily learned by probing systems, and lack effective integration of media content for user engagement.
Innovation Solution
A system that dynamically generates validation questions based on randomly selected media content items, such as images and videos, with corresponding questions curated at runtime, to enhance user interaction and thwart bot detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined content and questions are used in captcha validation, then the system is easier to implement and operate, but the system becomes vulnerable to automated bots that can learn and guess the validation methods
Solution Approach 1:
The system dynamically generates validation questions at runtime based on randomly selected media content items. The questions are not predefined but created on-the-fly from the media content, making the validation process adaptive and unpredictable. This resolves the contradiction by maintaining ease of operation through automated generation while improving security through dynamic content that bots cannot learn or guess in advance.
Solution Approach 2:
The system changes the parameters of the validation process by using randomly selected media content items (images, videos, advertisements) as the basis for generating questions. Each validation instance uses different media content and consequently different questions, changing the parameters of what is being validated. This makes the system reliable against bot detection while remaining easy to operate through automated parameter generation.
2Reliability
If frequently replacing questions and images is done to prevent bot learning, then the security against probing systems is improved, but the system complexity and maintenance effort increase
Solution Approach 1:
The system performs self-service by automatically generating validation questions from randomly selected media content items without requiring manual intervention. The automated generation process handles the replacement of questions and images, reducing maintenance complexity while maintaining high security through frequent content changes. This resolves the contradiction by making the system self-sufficient in managing content replacement.
Solution Approach 2:
The system uses media content items that serve multiple functions: they are used for validation questions, can be selected randomly for each validation instance, and can include various types of content (images, videos, advertisements). This multi-functionality reduces the need for separate content management systems while maintaining security through diverse and frequently changing content.
3Ease of operation
If media content items are selected based on user profile, then user engagement and attention span are improved, but the data processing requirements and system resource usage increase
Solution Approach 1:
The system performs preliminary action by pre-selecting media content items based on user profiles before the validation process. This allows the system to cache and organize content according to user preferences in advance, reducing real-time processing requirements. User engagement is improved through personalized content selection while energy consumption is managed through pre-processing and caching strategies.
Data Source
AI summary
The system generates a validation tool in response to receiving an indication to initiate validation. The system identifies at least one media content item based on a user profile, and generates at least one question based on the at least one media content item. The at least one media content item may include an image, a video, text, or a combination thereof. The system determines at least one answer corresponding to the at least one question. The question and answer may be determined based on a question template. For example, the template may be selected based on attribute types or values of the at least one media content item. The system generates the at least one question for output on an output device. Upon receiving input indicative to an answer, the system compares the inputted answer to the determined answer to determine whether to validate the user.