A Study On AI-Driven Solutions for Cloud Security Platform

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 cl...

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Main Authors: Menaga, Segar, Mohamad Fadli, Zolkipli
Format: Article
Language:English
English
Published: INTI International University 2024
Subjects:
Online Access:http://eprints.intimal.edu.my/2109/
http://eprints.intimal.edu.my/2109/2/647
http://eprints.intimal.edu.my/2109/3/ij2024_53r.pdf
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author Menaga, Segar
Mohamad Fadli, Zolkipli
author_facet Menaga, Segar
Mohamad Fadli, Zolkipli
author_sort Menaga, Segar
building INTI Institutional Repository
collection Online Access
description 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.
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spelling intimal-21092025-07-12T07:48:06Z http://eprints.intimal.edu.my/2109/ A Study On AI-Driven Solutions for Cloud Security Platform Menaga, Segar Mohamad Fadli, Zolkipli Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software 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. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2109/2/647 text en cc_by_4 http://eprints.intimal.edu.my/2109/3/ij2024_53r.pdf 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 https://intijournal.intimal.edu.my
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Menaga, Segar
Mohamad Fadli, Zolkipli
A Study On AI-Driven Solutions for Cloud Security Platform
title A Study On AI-Driven Solutions for Cloud Security Platform
title_full A Study On AI-Driven Solutions for Cloud Security Platform
title_fullStr A Study On AI-Driven Solutions for Cloud Security Platform
title_full_unstemmed A Study On AI-Driven Solutions for Cloud Security Platform
title_short A Study On AI-Driven Solutions for Cloud Security Platform
title_sort study on ai-driven solutions for cloud security platform
topic Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
url http://eprints.intimal.edu.my/2109/
http://eprints.intimal.edu.my/2109/
http://eprints.intimal.edu.my/2109/2/647
http://eprints.intimal.edu.my/2109/3/ij2024_53r.pdf