Enhancing Cloud Security: A Comprehensive Review of Deep Learning Algorithms

作者
Kusuma Nidadavolu,Giddaluru Somasekhar
出处
期刊:International Conference on Recent Advances in Information Technology 卷期号:: 1-6 被引量:3
标识
DOI:10.1109/rait65068.2025.11089291
摘要

Over a past few decades the cloud computing was increasing day by day due to the raise in the needs which were growing continuously as there are many advantages like the remote access which can be utilized from anywhere in the world just with a stable internet connection and the cost effectiveness is associated with cloud computing. The organizations were using cloud based systems which streamlined IT management and infrastructure. The rapid growth of cloud computing has also led to significant security concerns. Security has always been a major issue for open systems and the internet, and cloud computing is no exception. Cloud computing is similar to open systems and the internet, where security has been a significant concern. Deep Learning techniques have shown a great deal of promise in enhancing cloud security solutions to address these problems. This review paper provides an analysis of various deep learning and machine learning algorithms and security issues were addressed and specified the impact on cloud computing. Additionally we specified about the security attacks and classified different algorithms with respect to cloud security. Lastly, we highlighted future research directions aimed at enhancing the security of Cloud Computing models.

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