Privacy-Aware Big Data Governance Framework Using Blockchain

Abstract

The protection of the privacy, integrity, and auditability of big data has emerged as a significant concern as organizations are growing more dependent on multi-cloud data ecosystems which are decentralized in nature. The problems that traditional data governance models are not able to deal with are a lack of transparency, distrust towards information sharing, inconsistent access control, and their tendency to be tampered with. In order to close these shortcomings, the paper presents a Privacy-Aware Big Data Governance Framework (PBGF) which uses blockchain technology, distributed access control, and fine-grained privacy preservation to safeguard the total data lifecycle. The framework has incorporated smart contracts to automate governance policies, decentralized identity to ensure security in the authentication process, and differential privacy to safeguard sensitive attributes in analytics. A multilayer architecture is created to make sure that there is trusted data ingestion, provenance tracking, compliance, and verifiable data use across the stakeholders. Experimental considered performances indicate better data integrity, traceability, and accountability of access with minimal overhead in analytics performance. The solution is a scalable, tamper-resistant, and privacy-compliant governance model that proposed can be used in large big data systems in the fields of finance, healthcare, and smart cities.