Zero-Knowledge Proof Privacy on Distributed Ledgers
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Solution Overview
Problem
Distributed ledger-based networks (DLNs) compromise privacy due to transparency and consensus-based verification mechanisms, which require sharing relevant information among participants, potentially exposing sensitive information and violating privacy laws, especially in transactions involving personal or health-related data.
Innovation Solution
The implementation of zero-knowledge proofs (ZKPs) on DLNs to verify transactions without revealing private information, using techniques such as hashing public identifiers and random nonces, generating hierarchical tree structures, and providing zero-knowledge proofs to confirm approvals without disclosing identities or document contents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transparency and consensus-based verification mechanisms are used on DLNs, then trust and validation accuracy are improved, but privacy and security of participants and transactions are compromised
Solution Approach 1:
The patent segments transaction information into public components (commitments, Merkle roots) that can be verified on-chain and private components (identities, document contents) that remain off-chain. This segmentation allows the system to maintain transparency for validation purposes while protecting sensitive information, resolving the contradiction between trust and privacy.
Solution Approach 2:
The patent introduces cryptographic intermediaries including commitment schemes, Merkle trees, and zero-knowledge proofs as mediators between public verification requirements and private information protection. These intermediaries enable third-party validation without direct exposure of sensitive data, balancing reliability and privacy concerns.
2Reliability
If relevant information is shared among participants for consensus verification, then transaction validation is improved, but exposure of sensitive information and violation of privacy laws occurs
Solution Approach 1:
The patent extracts only the essential verification elements (commitments, Merkle roots, validation proofs) from complete transaction information and places them on-chain, while removing sensitive information (identities, document contents) from public view. This extraction enables validation without information loss or privacy violation.
Solution Approach 2:
The patent transforms transaction data from its original form into cryptographic representations with different parameters - commitments transform identities into verifiable but untraceable forms, and Merkle trees transform document contents into hash-based validation tokens. These parameter changes maintain validation capability while protecting sensitivity.
3Object-affected harmful factors
If zero-knowledge proofs are implemented to verify transactions without revealing private information, then privacy and security are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent performs preliminary cryptographic operations off-chain to generate commitments, Merkle trees, and zero-knowledge proof elements before submitting transactions to the blockchain. This preliminary action reduces on-chain computational complexity while maintaining privacy protections, as the heavy lifting occurs in advance.
Solution Approach 2:
The patent uses cryptographic copies and representations (commitments as copies of identities, Merkle roots as copies of document hashes) that preserve verification functionality without requiring the original sensitive information. These copies enable validation with reduced computational overhead compared to handling full transaction details.
Data Source
AI summary
Embodiments of the instant disclosure include methods and systems directed at providing enhanced security and privacy to multiple party communications that occur on zero knowledge proof (ZKP)-enabled distributed ledger-based networks (DLNs). In particular, the methods and systems include subject matter related to the deployment, and approval, of a multi-party document or instrument for consideration and approval by multiple participants of the DLN.