Zero-Knowledge Proof Eligibility Verification System
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Solution Overview
Problem
Users are reluctant to share private and sensitive information to prove eligibility for data interactions due to concerns about data theft and identity theft, which compromises data privacy and security in computing networks.
Innovation Solution
A zero-knowledge proof cryptographic technique is used to verify user eligibility for data interactions without disclosing specific information, employing an eligibility manager that generates and verifies zero-knowledge proofs based on encrypted user data to ensure privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users provide eligibility information to prove eligibility for data interactions, then the entity can verify user eligibility, but user private and sensitive information may be exposed leading to data theft and identity theft
Solution Approach 1:
The patent introduces a trusted third-party entity that acts as an intermediary between the user and the data interaction entity. This intermediary verifies user eligibility and issues credentials that prove eligibility without revealing underlying private information. The intermediary handles the sensitive information processing while the user only interacts with the verification system, thus protecting user privacy while ensuring reliable eligibility verification.
Solution Approach 2:
The patent creates credential copies or representations of user eligibility information without exposing the original sensitive data. Instead of sharing actual private information, the system generates verified credential copies (such as digital certificates or tokens) that contain only the necessary verification data. These credential copies can be shared safely while proving eligibility, thus preventing data exposure while maintaining verification reliability.
2Reliability
If users share sensitive information to demonstrate eligibility, then the entity can determine user eligibility, but the risk of data theft and targeted promotions increases
Solution Approach 1:
The trusted intermediary processes and verifies eligibility information securely, acting as a buffer between users and entities. The intermediary implements security controls and policies to prevent data misuse, ensuring that even if data is collected, it is protected from theft and unauthorized use. This intermediary layer reduces data security risks while maintaining accurate eligibility determination.
Solution Approach 2:
The system creates verified credential copies that contain only the minimum necessary information for eligibility determination. Instead of sharing complete sensitive profiles, the system generates streamlined credential representations that prove eligibility without exposing unnecessary personal data. This minimizes the attack surface for data theft while maintaining verification accuracy.
3Reliability
If the system processes eligibility verification using traditional methods, then user eligibility can be confirmed, but processing resources are wasted on ineligible users
Solution Approach 1:
The patent implements preliminary eligibility screening and verification before users can access data interaction resources. The trusted intermediary performs initial eligibility checks and issues credentials in advance, so that when users request data interactions, the system can quickly verify credentials rather than processing full eligibility checks each time. This preliminary action filters out ineligible users early, improving processing efficiency while maintaining verification reliability.
Solution Approach 2:
The system creates verifiable credential copies that can be quickly validated without re-processing original eligibility data. These credential copies contain pre-verified information that can be checked efficiently, allowing the system to rapidly determine user eligibility status. This copying approach reduces processing time and resource consumption while maintaining accurate eligibility verification.
Data Source
AI summary
In response to receiving a first request from a user to determine eligibility to perform a data interaction, the user is prompted to provide eligibility information. An eligibility result is determined by inputting the eligibility information into an evaluation algorithm. A zero-knowledge proof of the eligibility result is generated. In response to receiving a second request from the user to perform the data interaction, the zero-knowledge proof is verified. When the zero-knowledge proof is found to be valid, the data interaction requested by the user is initiated.