Abstract

The integration of blockchain and cloud computing is reshaping the way we think about data security, trust, and decentralization. While cloud computing offers scalability, efficiency, and cost-effectiveness, its centralized nature raises concerns about data privacy, security vulnerabilities, and dependency on third-party providers. Blockchain, known for its decentralized, immutable, and cryptographically secure structure, presents a promising solution by enhancing trust, reducing reliance on intermediaries, and ensuring secure transactions.
This paper explores the potential and challenges of integrating blockchain with cloud computing, examining how blockchain can strengthen cloud security, storage, and identity management. A theoretical framework is proposed where blockchain acts as a security layer within cloud infrastructure. Through real-world case studies, including Amazon QLDB and Microsoft Azure Confidential Ledger, we analyze blockchain’s role in secure storage, transparent data logging, and automated access control. Additionally, an experimental evaluation tests blockchain’s effectiveness in automating cloud transactions, improving data integrity, and enhancing cost efficiency.
Despite its potential, blockchain-cloud integration faces hurdles like scalability, interoperability, and regulatory concerns. However, innovations such as Layer-2 scaling solutions, AI-driven automation, and quantum-resistant cryptography offer promising ways to address these challenges. This study contributes to the growing research on secure and decentralized cloud solutions, identifying adoption barriers and outlining future directions for trustless and efficient cloud computing.