Zero-knowledge proof framework for privacy-preserving financial compliance

This article presents a minimal viable product (MVP) architecture and proof-of-concept implementation that leverages zero-knowledge proofs to conduct essential KYC checks on a blockchain network without disclosing sensitive user information. The design employs a trusted off-chain KYC provider to validate user credentials, then uses succinct cryptographic proofs, compiled and verified with Groth16, Circom, and snarkjs, to guarantee compliance on-chain. A single smart contract deployed on a test network (Sepolia) verifies these proofs while insulating personal data from public exposure. The article outlines a practical off-chain/on-chain data flow, discusses essential performance metrics such as proof generation time and gas costs, and describes limited user testing for qualitative feedback. By integrating regulated AML checks with privacy-oriented ZKP protocols, this work demonstrates that decentralized applications can satisfy stringent compliance standards while upholding the confidentiality of user identities.

Authors

Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.01.342
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Zero-knowledge proof framework for privacy-preserving financial compliance

B. B. Liubinskyi, I. R. Solomka
1 links
Mathematical Modeling and Computing
Blockchain Technology Applications and Security
article

Zero-knowledge proof framework for privacy-preserving financial compliance

B. B. Liubinskyi, I. R. Solomka
article en

Abstract

This article presents a minimal viable product (MVP) architecture and proof-of-concept implementation that leverages zero-knowledge proofs to conduct essential KYC checks on a blockchain network without disclosing sensitive user information. The design employs a trusted off-chain KYC provider to validate user credentials, then uses succinct cryptographic proofs, compiled and verified with Groth16, Circom, and snarkjs, to guarantee compliance on-chain. A single smart contract deployed on a test network (Sepolia) verifies these proofs while insulating personal data from public exposure. The article outlines a practical off-chain/on-chain data flow, discusses essential performance metrics such as proof generation time and gas costs, and describes limited user testing for qualitative feedback. By integrating regulated AML checks with privacy-oriented ZKP protocols, this work demonstrates that decentralized applications can satisfy stringent compliance standards while upholding the confidentiality of user identities.

Mathematical Modeling and ComputingVol. 12(1)
Openalex Percentile: Top 92%
Blockchain Technology Applications and Security
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Zero-knowledge proof framework for privacy-preserving financial compliance — B. B. Liubinskyi, I. R. Solomka · Mathematical Modeling and Computing (2025) | TGRS Research Map | TGRS