Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799203
Title: A machine learning-based investigation of cloud service attacks
Author: Al-Mandhari, Intisar
ISNI:       0000 0004 8510 0552
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2019
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Abstract:
In this thesis, the security challenges of cloud computing are investigated in the Infrastructure as a Service (IaaS) layer, as security is one of the major concerns related to Cloud services. As IaaS consists of different security terms, the research has been further narrowed down to focus on Network Layer Security. Review of existing research revealed that several types of attacks and threats can affect cloud security. Therefore, there is a need for intrusion defence implementations to protect cloud services. Intrusion Detection (ID) is one of the most effective solutions for reacting to cloud network attacks.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.799203  DOI:
Keywords: cloud computing ; Network security ; artificial intelligence models ; imbalanced datasets ; machine learning ; feature selection
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