Page No: 434-450
Abstract : Cloud storage's scalability, accessibility, and affordability have made it essential in
the digital age. Data security and privacy remain a major issue due to the large volume of
sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery,
especially for keyword searches. Secure, fine-grained access control and quick keyword
searches over encrypted data are possible using attribute-based keyword search (ABKS). 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 and strengthening ABKS
against emerging security vulnerabilities are future research priorities.
Keyword ABKS, Secure Cloud Storage, Data Encryption, Access Control, Search Optimization