SMARTCLOUD: GENERATING AND SECURING CLOUD STORAGE USING MODEL-DRIVEN APPROACHES

Abstract

Cloud storage has become a cornerstone of modern computing, enabling scalable, on-demand, and costeffective data management. However, securing sensitive information in the cloud remains a significant challenge due to data breaches, unauthorized access, and misconfigurations. This study presents SmartCloud, a model-driven framework for generating secure cloud storage environments. By using system and security models to design and deploy cloud storage, SmartCloud ensures that security policies, access controls, and data protection mechanisms are integrated from the initial stages of system development. The approach leverages automated model-to-cloud transformations, enabling consistent enforcement of security rules, efficient resource allocation, and reduced risk of human errors. Experimental evaluations demonstrate that SmartCloud improves data confidentiality, integrity, and availability while maintaining performance and scalability. The framework highlights the potential of model-driven techniques to enhance trust, compliance, and reliability in cloud storage systems.