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JTIE - Journal of Technology Informatics and Engineering - Vol. 4 Issue. 1 (2025)

Blockchain Based Zero Knowledge Proof Protocol For Privacy Preserving Healthcare Data Sharing

Go Eun Myeong, Kim Sa Ram,



Abstract

The rise of digital healthcare has intensified concerns over data privacy, particularly in cross-institutional medical data exchanges. This study introduces a blockchain-based protocol leveraging Zero-Knowledge Proofs (ZKP), specifically zk-SNARK, to enable verifiable yet privacy-preserving health data sharing. Built on a permissioned Ethereum blockchain, the protocol ensures that medical data validity can be confirmed without disclosing sensitive content. System implementation involves Python-based zk-circuits, smart contracts in Solidity, and RESTful APIs supporting HL7 FHIR formats for interoperability. Performance evaluations show promising results: proof verification times remained under 100 ms, with average proof sizes below 2 KB, even under complex transaction scenarios. Gas consumption analysis indicates a trade-off—ZKP-enabled transactions consumed approximately 93,000 gas units, compared to 52,800 in baseline cases. Interoperability testing across 10 FHIR-based scenarios resulted in 100% parsing success and an average data integration time of 1.7 seconds. Security assessments under white-box threat models confirmed that sensitive information remains unreconstructable, preserving patient confidentiality. Compared to previous implementations using zk-STARK, this protocol offers a 30% improvement in verification efficiency and a 45% reduction in proof size. The novelty lies in combining lightweight ZKP mechanisms with an interoperability-focused design, tailored for realistic hospital infrastructures. This research delivers a scalable, standards-compliant architecture poised to advance secure digital healthcare ecosystems while complying with regulations like GDPR







DOI :


Sitasi :

0

PISSN :

2961-9068

EISSN :

2961-8215

Date.Create Crossref:

22-Apr-2025

Date.Issue :

22-Apr-2025

Date.Publish :

22-Apr-2025

Date.PublishOnline :

22-Apr-2025



PDF File :

Resource :

Open

License :

https://creativecommons.org/licenses/by-sa/4.0