The management of healthcare data has become an intricate task with the advent of digital health records, multiple data sources, and the need for security and privacy. Current centralized healthcare systems are vulnerable to major issues, including single points of failure, data breaches, opacity, and poor data-sharing...
The safe system described in this paper tackles healthcare analytics problems by combining blockchain technology, privacy-preserving parameters, zero-knowledge proofs (zk-SNARKs), and a multi-tenant cloud environment.
Electronic Health Records (EHRs) demand simultaneous guarantees of confidentiality, verifiable integrity, patient-controlled access, and regulatory auditability — guarantees that neither centralised cloud storage nor fully on-chain blockchain systems can jointly provide. Cloud platforms concentrate trust and deny patie...
The accelerating digitisation of healthcare, financial services, and urban governance has intensified concerns regarding data privacy, security, and unauthorised data exploitation. Traditional centralised data management architectures exhibit inherent vulnerabilities, including single points of failure, susceptibility...
Overall, the proposed solution enhances interoperability, auditability, and automation while ensuring data privacy and security, demonstrating its viability across various blockchain networks.
A blockchain-based framework designed to protect the privacy of healthcare insurance data using optimized Elliptic Curve Cryptography (ECC) is introduced, which provides a practical and scalable solution for sharing healthcare information securely in today's insurance environments.
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