Zero-Knowledge Proof Identity Verification System
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Solution Overview
Problem
Existing identity verification systems in digital environments often compromise user privacy by requiring centralized exchanges, which raise concerns about privacy and tracking.
Innovation Solution
A computer-implemented method and system for verifying policy proofs using zero-knowledge proofs, where a user's identity is verified without disclosing sensitive personal information by utilizing a decentralized storage and blockchain ledgers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized identity verification systems are used, then identity verification can be achieved, but user privacy is compromised and tracking concerns arise
Solution Approach 1:
The patent introduces zero-knowledge proofs as an intermediary mechanism that enables identity verification without direct exposure of personal information. The proof acts as a mediator between the verifier (service provider) and the user's sensitive data, allowing verification of identity claims while maintaining privacy through cryptographic techniques that prove authenticity without revealing underlying personal information.
Solution Approach 2:
The patent extracts only the necessary verification information from user identity data through zero-knowledge proofs. Instead of processing or storing complete personal information, the system extracts and verifies minimal proof elements that confirm identity validity without exposing sensitive personal details, thereby preventing privacy loss while maintaining verification reliability.
2Reliability
If decentralized systems are used, then data transparency and resiliency are improved, but protecting data from scrutiny becomes challenging
Solution Approach 1:
The patent applies local quality by implementing different levels of data visibility and protection across the decentralized system. Public blockchain ledgers provide transparent verification records accessible to all participants, while zero-knowledge proofs ensure that sensitive user data remains locally protected and invisible to external scrutiny. This creates localized privacy protection within specific data domains while maintaining overall system transparency through selective information disclosure.
Data Source
AI summary
A computer implemented method for verifying a policy proof includes receiving request from a user for a policy, issuing a random challenge nonce, receiving a triple comprising a first genesis state of the user, a zero-knowledge proof of the policy based at least in part on the first random challenge nonce, an account address corresponding to the user, and user data, and a signature of the zero-knowledge proof of the policy, verifying the zero-knowledge proof of the policy based at least in part on the account address of the user, the first random challenge nonce, and one or more states of the user, storing the zero-knowledge proof and the policy identifier in a decentralized storage, publishing the account address corresponding to the user, the policy identifier, and a content identifier to one or more blockchain ledgers.


