Machine Learning Approaches to analyze Security Risk under Cloud Computing

Mahfuz, Zeba (2024) Machine Learning Approaches to analyze Security Risk under Cloud Computing. Masters thesis, Dublin, National College of Ireland.

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Abstract

In years the fast growth of cloud computing has completely changed the world of Information Technology by offering adaptable and versatile resources. However, this shift has also brought about security challenges especially in terms of network breaches. This research analyse four machine learning methods to analyze and address risks for detecting network intrusions. We assessed various machine learning models like Logistic Regression, K Nearest Neighbors(KNN), Multilayer Perceptron (MLP) and Random Forest. Our results indicate that the KNN classifier outperformed others with an accuracy rate of 98.87% showcasing its effectiveness in real world cloud security situations. The MLP also showed performance especially in terms of precision and recall metrics suggesting its suitability for handling complex and high dimensional data. These findings emphasize how machine learning techniques can significantly improve security measures. By identifying and categorizing network intrusions these models play a crucial role in proactively managing security risks, in cloud based environments.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Cortes Mendoza, Jorge Mario UNSPECIFIED
Uncontrolled Keywords:	Machine Learning; Risk Analysis; Classification Models; cloud security
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	03 Jul 2025 13:37
Last Modified:	03 Jul 2025 13:37
URI:	https://norma.ncirl.ie/id/eprint/8033

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