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Detection and mitigation security threats in cloud systems

A thesis presented to the Department of Computer Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement of Master of Science (Information Technology).

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Main Author: Ayitey, Addy Andrene Nii
Format: Thesis
Language:en_US
Published: 2021
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access_status_str Open Access
author Ayitey, Addy Andrene Nii
author_browse Ayitey, Addy Andrene Nii
author_facet Ayitey, Addy Andrene Nii
author_sort Ayitey, Addy Andrene Nii
collection Thesis
description A thesis presented to the Department of Computer Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement of Master of Science (Information Technology).
format Thesis
id oai:ir.knust.edu.gh:123456789/14142
institution KNUST (Ghana)
language en_US
last_indexed 2026-06-10T12:31:23.640Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2021
publishDateRange 2021
publishDateSort 2021
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/14142 Detection and mitigation security threats in cloud systems Ayitey, Addy Andrene Nii Database Web application Security threats Cloud systems A thesis presented to the Department of Computer Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement of Master of Science (Information Technology). Clouds systems provide computation and storage services to organizations and individuals with improved flexibility and low cost. Cloud customers hire resources in the form of virtual machines (VMs) within the cloud. However, these VMs may face various security threats. In this paper, three scenarios were created using RIVERBed simulation tool to detect and mitigate potential security threats targeting cloud systems. The primary objective of these scenarios is to evaluate the performance of database and web application under three different scenarios (no firewall, firewall and firewall blocking the web traffic). To demonstrate how these three scenarios can enhance cloud security, where there is no firewall, another scenario where firewall is created to filter database and web application packets and the third scenario is made to block the web traffic across the cloud. The performance metrics selected at the three levels (global level, node level and link level) is used to evaluate the performance for the database and web application from the simulations using two applications the database and web application, it is seen that the database application performance is improved when the web traffic is blocked. Even against the packet latency and the security policies the database point to point utilization is enhanced. KNUST 2021-06-25T09:34:26Z 2023-04-19T04:00:20Z 2021-06-25T09:34:26Z 2023-04-19T04:00:20Z JULY 2019 Thesis https://ir.knust.edu.gh/handle/123456789/14142 en_US application/pdf
spellingShingle Database
Web application
Security threats
Cloud systems
Ayitey, Addy Andrene Nii
Detection and mitigation security threats in cloud systems
title Detection and mitigation security threats in cloud systems
title_full Detection and mitigation security threats in cloud systems
title_fullStr Detection and mitigation security threats in cloud systems
title_full_unstemmed Detection and mitigation security threats in cloud systems
title_short Detection and mitigation security threats in cloud systems
title_sort detection and mitigation security threats in cloud systems
topic Database
Web application
Security threats
Cloud systems
url https://ir.knust.edu.gh/handle/123456789/14142
work_keys_str_mv AT ayiteyaddyandrenenii detectionandmitigationsecuritythreatsincloudsystems