Hybrid Blockchain and Big Data Framework for PrivacyPreserving Medical Data Sharing

In the healthcare sector, the need for privacy-preserving and secure data sharing is paramount, especially as the volume of medical data continues to grow due to advancements in big data and digital health technologies. To address these challenges, a hybrid blockchain and big data framework offers a promising solution for secure medical data sharing. Blockchain technology provides a decentralized and immutable ledger that ensures the security, transparency, and privacy of medical data. However, traditional blockchain systems face scalability and efficiency issues when handling large-scale datasets, such as electronic health records (EHRs), medical imaging data, and real-time health monitoring data. By integrating big data technologies into the blockchain infrastructure, the hybrid framework can leverage the strengths of both systems to enable efficient and privacy-preserving medical data sharing. This paper proposes a hybrid framework that combines the immutability and security of blockchain with the scalability and processing power of big data analytics. Through the use of smart contracts, healthcare institutions can securely share medical data while maintaining compliance with regulations like HIPAA and GDPR. The framework also incorporates privacy-preserving mechanisms such as zero-knowledge proofs (ZKP) and differential privacy to protect patient data during data sharing. This paper provides a detailed analysis of current challenges in medical data sharing and presents a novel hybrid blockchain and big data solution that enhances the security, privacy, and scalability of healthcare systems.