Secure Cloud Storage with Machine Learning-Optimized Attribute-Based Access Control Protocols

Journal of Science Technology and Research (JSTAR) 5 (1):420-435 (2024)
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Abstract

This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. Exploring sophisticated machine learning algorithms for predictive search improvements a

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