Author
Abstract
Centralized cloud architectures, while operationally efficient, concentrate control of enterprise data in a single administrative domain, creating a single point of failure and a persistent trust dependency between data owners and the cloud provider. Blockchain technology offers a complementary model of distributed trust, in which records are validated collectively by a network of participants and rendered immutable through cryptographic hash-linking. This article proposes and analyzes a secure framework for decentralized cloud data management that integrates permissioned blockchain networks with Microsoft Azure's cloud services. The framework separates responsibilities across four layers: an off-chain Azure layer for scalable data storage, identity management, and threat monitoring; an integration layer built on the Azure Blockchain Development Kit and Logic Apps; a consortium blockchain layer in which multiple stakeholders operate validating nodes; and a distributed ledger layer that records immutable transaction hashes and enforces smart-contract logic. Spanning blockchain fundamentals, Blockchain-as-a-Service (BaaS) platforms, and cloud security research, the article compares Azure Blockchain Service against competing BaaS offerings and maps common decentralized data management risks to specific mitigations available within the Azure ecosystem. The analysis suggests that combining Azure's mature identity, storage, and monitoring services with a permissioned blockchain layer can reduce single-point-of-failure risk, strengthen data provenance, and improve auditability across multi-organizational data-sharing arrangements, provided that organizations invest in smart-contract verification, key management discipline, and clear consortium governance agreements. The article concludes with practical recommendations for organizations evaluating a blockchain-on-Azure approach to decentralized data management.
Suggested Citation
Shekar Rao Lakavath, 2025.
"Blockchain and Microsoft Azure: A Secure Framework for Decentralized Cloud Data Management,"
Journal of Computer Science and Information Technology, Bluemark Publishers, vol. 2(2), pages 97-106, November.
Handle:
RePEc:cxi:jcsit0:v:2:y:2025:i:2:id:1072
DOI: 10.61424/jcsit.v2i2.1072
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