Secure Data Management in Cloud Environments

This article explores the challenges of secure data management in cloud environments and presents an innovative access control framework designed to address these issues. In the era of cloud computing, while the benefits of scalable storage and on-demand computational power are well recognized, persistent security concerns—such as unauthorized access, data leakage, and privacy breaches—remain significant barriers to adoption. To bridge this gap, we propose a novel framework that integrates a Rule-Based Keywords Role Management Model with traditional Role-Based Access Control (RBAC). This dual-layer approach enhances data confidentiality and ensures dynamic, fine-grained access control tailored to evolving organizational roles and security policies. The study employs a multi-phased methodology encompassing an extensive literature review, system development in a simulated cloud environment, and rigorous experimental evaluation. The prototype system incorporates an encryption module based on privacy homomorphism, an access control engine, and a robust backup and recovery mechanism. Comprehensive testing under various threat scenarios demonstrates that the proposed model not only reduces unauthorized access and false positives but also maintains high system performance and scalability. Case studies and real-world implementations further validate the framework’s practical effectiveness, while our discussion of future trends highlights emerging technologies and open research challenges in metadata management, data sharing, and integrity assurance. Overall, our findings contribute to a more secure, efficient, and user-friendly approach to cloud data management, offering a significant step forward in the ongoing effort to safeguard sensitive information in dynamic cloud infrastructures.