Reusable Token Bot Verification via Smart Contract Risk Scoring
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Solution Overview
Problem
Existing CAPTCHA methods can be frustrating for legitimate users, especially if they are too difficult or frequent, and may not be accessible for users with disabilities or low bandwidth, while also raising concerns about user privacy and data security.
Innovation Solution
A human identity verification service that generates a reusable, signed token allowing users to bypass additional CAPTCHA tests when they become too frequent, difficult, or inaccessible, ensuring convenient and secure identity verification in smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CAPTCHA tests are made more frequent or difficult to prevent bots, then bot mitigation effectiveness is improved, but user frustration and accessibility deteriorate
Solution Approach 1:
The system performs preliminary bot detection analysis before presenting CAPTCHA challenges, using risk scoring to identify high-risk requests that actually require verification. This preliminary filtering reduces the number of CAPTCHA challenges presented to legitimate users while maintaining strong protection for suspicious requests.
Solution Approach 2:
Different CAPTCHA challenge types and difficulty levels are applied locally based on the specific risk profile of each request. High-risk requests receive more challenging tests while low-risk requests face simpler or no challenges, creating a localized verification strategy that reduces overall user frustration.
2Reliability
If CAPTCHA tests are made more frequent or difficult to prevent bots, then bot mitigation effectiveness is improved, but accessibility for users with disabilities deteriorates
Solution Approach 1:
The system dynamically adapts CAPTCHA challenge types based on user characteristics and device properties. Users with assistive technologies or mobility impairments automatically receive audio-based or simpler challenges, while the system adjusts challenge difficulty in real-time based on interaction patterns and risk assessment.
Solution Approach 2:
The system changes multiple parameters of CAPTCHA challenges simultaneously - including type (image, audio, text), difficulty level, and presentation format - based on user profile data, device capabilities, and risk scoring, creating an adaptable verification system that maintains effectiveness while improving accessibility.
3Reliability
If CAPTCHA tests are made more frequent to prevent bots, then bot mitigation effectiveness is improved, but user privacy and data security concerns increase
Solution Approach 1:
The system extracts and processes only the minimum necessary data for bot detection - primarily behavioral patterns, device fingerprints, and request metadata - while explicitly excluding sensitive personal information. This extraction strategy enables effective bot mitigation while minimizing privacy intrusion and data security risks.
Solution Approach 2:
A risk scoring intermediary layer processes user interactions without storing or exposing raw personal data. The system uses this intermediary to translate complex user behavior into risk scores that trigger appropriate CAPTCHA challenges, maintaining bot protection effectiveness while preserving user privacy through data minimization.
Data Source
AI summary
The present technology pertain to verifying user identity using a proof of satisfaction such as a token, including a non-fungible token. The present technology includes receiving, by a smart contract on a distributed ledger, a request to engage in a transaction, where the smart contract requires an originator of the transaction to prove that it satisfies a requirement that is verifiable by an authority in order to conduct the transaction, and where the requirement is that the originator of the transaction proves that it is not a bot. The smart contract receives a pointer to a proof of satisfaction of the requirement. The proof of satisfaction is verified by following the pointer. The method also includes conducting the transaction after verifying that the requirement has been satisfied.