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A Novel Blockchain-Based Model for Secure Genomic Data Management.

Mutiullah Shaikh¹, Ali Ebrahimi¹, Uffe Kock Wiil¹

¹SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.

Studies in Health Technology and Informatics

|July 1, 2025

Summary

This summary is machine-generated.

This study introduces a blockchain model for secure genomic data sharing, enhancing patient privacy and control. It ensures data integrity and prevents unauthorized access, supporting precision medicine research.

Keywords:

Blockchain DIDs Genomics Personalized Medicine SSI

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Area of Science:

Genomics
Blockchain Technology
Cybersecurity
Precision Medicine

Background:

Personalized medicine necessitates secure and private genomic data management.
Existing systems often lack robust patient control and data integrity.
Need for transparent and privacy-preserving solutions in genomic data exchange.

Purpose of the Study:

To propose a novel hybrid blockchain model for secure, patient-controlled genomic data management.
To integrate Self-Sovereign Identity (SSI), Decentralized Identifiers (DIDs), Verifiable Credentials (VCs), and Interplanetary File System (IPFS).
To ensure privacy-compliant and transparent genomic data exchange for precision medicine research.

Main Methods:

Developed a hybrid blockchain model using Polygon Proof-of-Stake (PoS).
Implemented a smart contract for access control on synthetic genomic data samples.
Integrated SSI, DIDs, VCs, and IPFS for decentralized data storage and retrieval.
Conducted security, integrity, and availability tests.

Main Results:

Achieved 100% data integrity validation via on-chain SHA-256 hash checks.
Demonstrated zero successful unauthorized access attempts, confirming SSI authentication robustness.
Verified reliable decentralized data retrieval using IPFS Content Identifiers (CIDs).
Enabled real-time patient control over data access, ensuring GDPR compliance.

Conclusions:

The proposed model offers a scalable, secure, and privacy-compliant solution for genomic data sharing.
Empowers patients with full control over their genetic data.
Facilitates trustworthy and decentralized data usability for precision research.