A DISTRIBUTED REGISTRY-BASED MODEL OF PERSONAL DATA STORAGE AND VERIFICATION TO INCREASE TRUST

Abstract

This paper presents a comprehensive model for secure storage and verification of personal data based on distributed ledger technology, specifically blockchain. The proposed architecture addresses the challenges associated with traditional centralized systems, such as data breaches, limited transparency, and lack of user control. The model integrates multiple functional modules: data collection, encryption, block formation, access control via smart contracts, and integrity verification using cryptographic proofs.

The system stores only metadata – such as hashes, timestamps, and identifiers – on the blockchain, while sensitive data remains encrypted and stored separately. Access to data is managed through customizable smart contracts that support dynamic access policies and multisignature authorization schemes. Verification of data integrity can be performed without revealing the content, using methods like hash comparison and zero-knowledge proof.

The model has been tested in a simulated Hyperledger Fabric environment, demonstrating high performance, minimal resource consumption, and scalability. A comparison with centralized and hybrid solutions highlights the advantages of the proposed system in terms of transparency, privacy preservation, and automation of access control.

This research contributes to the development of trusted digital infrastructures by combining decentralization, cryptographic protection, and flexible policy enforcement. The proposed model has strong potential for application in e-governance, healthcare, finance, and education, where trust, security, and privacy are essential.