Detection and analysis of Network Layer Security challenges in cloud using machine-learning Algorithm

Choudhari, Nilam Shantaram (2022) Detection and analysis of Network Layer Security challenges in cloud using machine-learning Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing is rapidly growing in popularity and use. Many firms are spending their time in this industry, whether it be for personal enrichment or even as a contribution to others. One of the repercussions of Cloud expansion is the increase of various security issues for both businesses and consumers. One way for safeguarding the cloud is by machine learning. Techniques of machine learning were been used in a number of different ways on the Cloud to avoid or discover attacks and also security issues. Security challenges of cloud computing have been investigated at the layer of Infrastructure as a Service (IaaS), since security have emerged as one of the greatest considerations with cloud services in this thesis. Because IaaS involves a wide range of security concerns, the research will be confined to Network Layer Safety. As a consequence, intrusion detection systems are needed to defend cloud services. In our thesis the results shows that multilayer perceptron has been proved best way to classify the attacks as the accuracy is highest. While this is understandable and anticipated, using accuracy as the sole criteria for evaluating a system would be impractical. Another thing to keep in mind is that we must be cautious with false negatives. We probably couldn’t afford to get a connection classified as non-harmful when it’s actually an attack. We would draw the ROC curve and utilize Area Under Curve as an assessment tool for this.

Item Type:	Thesis (Masters)
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:	Tamara Malone
Date Deposited:	02 Dec 2022 17:08
Last Modified:	08 Mar 2023 15:16
URI:	https://norma.ncirl.ie/id/eprint/5960

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