A Study On AI-Driven Solutions for Cloud Security Platform

Menaga, Segar and Mohamad Fadli, Zolkipli (2024) A Study On AI-Driven Solutions for Cloud Security Platform. INTI JOURNAL, 2024 (53). pp. 1-7. ISSN e2600-7320

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Abstract

Cloud computing has developed as a reliable approach to adopting various services inherent in data management but has its weaknesses in terms of security risks such as unauthorized access, data leakage or any other threats from insiders. This paper examines the role of AI in the improvement of cloud security with specific emphasis on deep learning, ensemble learning and lightweight AI approaches. Cognitive tasks comprise integration, computational cost, and the ethical effect of the algorithm are identified and discussed. Real-world applications and possibilities for further development, such as federated learning and XAI, are also described in order to give recommendations for the effective application of AI-based cloud security. Finally, this research seeks to help organizations protect cloud structures and resources using intentioned AI solutions.

Item Type:	Article
Uncontrolled Keywords:	Cloud Security, Artificial Intelligence, Deep Learning, Cloud Computing, Ensemble Learning
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	26 Dec 2024 10:18
Last Modified:	26 Dec 2024 10:18
URI:	http://eprints.intimal.edu.my/id/eprint/2109

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