Secure and Privacy-Preserving Data Sharing in Multi-Cloud Environments: A Blockchain-Based Approach

Abstract

The increasing adoption of cloud computing has led to the proliferation of multi-cloud
environments, where organizations leverage services from multiple cloud providers to achieve
better reliability, flexibility, and cost-efficiency. However, data sharing across different cloud
platforms introduces significant security and privacy challenges, as sensitive information may be
exposed to unauthorized parties or vulnerable to attacks. This research paper presents a novel
blockchain-based approach to enable secure and privacy-preserving data sharing in multi-cloud
environments. By leveraging the decentralized and immutable nature of blockchain technology, the
proposed framework ensures data integrity, confidentiality, and auditability throughout the data
sharing process. The research methodology involves the design and implementation of a
permissioned blockchain network that acts as a secure and transparent layer for data sharing among
multiple cloud providers. The framework incorporates advanced cryptographic techniques, such as
homomorphic encryption and secure multi-party computation, to protect sensitive data while
allowing authorized parties to perform computations on encrypted data without revealing the
underlying information. The proposed approach is evaluated through rigorous security analysis and
performance benchmarking, demonstrating its effectiveness in preventing data breaches,
unauthorized access, and privacy leaks. The study also presents a detailed analysis of the scalability
and efficiency of the blockchain-based data sharing framework, considering factors such as
transaction throughput, latency, and storage overhead. The findings of this research have significant
implications for organizations operating in multi-cloud environments, enabling them to securely
share and collaborate on sensitive data across different cloud platforms. By leveraging blockchain
technology, the proposed approach provides a transparent and tamper-proof mechanism for data
sharing, enhancing trust and accountability among participating entities. This research contributes
to the advancement of secure and privacy-preserving data sharing solutions in the era of multicloud computing, addressing the critical challenges of data protection and compliance in complex
cloud ecosystems.