A Privacy-Preserving Federated Blockchain Framework For Secure Data Sharing In Multi-Cloud Environments
Year: 2024
Type: article
Abstract: Secure data sharing across multi-cloud environments faces persistent challenges related to privacy leakage, trust management, data provenance, and interoperability among heterogeneous cloud platforms. Traditional centralized security mechanisms struggle to support distributed workloads while ensuring compliance, traceability, and resilience against single-point failures. To address these issues, a privacy-preserving federated blockchain framework is introduced, integrating lightweight cryptography, decentralized trust governance, and federated learning-based access control. The proposed architecture enables secure data exchange among multiple clouds without exposing raw data, while on-chain smart contracts automate policy enforcement, provenance tracking, and consensus-driven validation. A hybrid consensus process enhances scalability for multi-cloud federations, and zero-knowledge proofs strengthen privacy guarantees during cross-cloud verification. Experimental analysis demonstrates improvements in latency, security robustness, and interoperability compared to conventional blockchain-only and cloud-only models. The results indicate that the framework provides a scalable, auditable, and privacy-centric solution for collaborative data sharing in heterogeneous cloud ecosystems.
Source: Nanotechnology Perceptions
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7218138647