Abstract: Cloud computing has become a vital part of modern digital infrastructure, offering scalable, on-demand computing resources. However, security remains a primary concern, as cyber threats continue to evolve in complexity. Machine learning (ML) has emerged as a powerful tool in enhancing cloud security by detecting, preventing, and mitigating various cyber threats. This paper provides a detailed review of ML-based security mechanisms in cloud computing, covering key algorithms, applications, benefits, challenges, and future research directions.

Keywords: Artificial intelligence, Machine learning, Deep Learning, IOT, Cyber Security.


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.14369

How to Cite:

[1] Dr. J. Vimal Rosy, "A Review of Machine Learning-based Security in Cloud Computing," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14369

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