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: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2109/1/ij2024_53.pdf http://eprints.intimal.edu.my/2109/2/647 http://eprints.intimal.edu.my/2109/ https://intijournal.intimal.edu.my |
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| Summary: | 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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