An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique

Demand for cyberspace-enabled services has expanded dramatically in recent years, in lockstep with the global Internet user population expansion. This rising demand for these services has increased the number of cyber threats launched by attackers, as well as the diversity and sophistication of the...

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Main Author:	Al Ogaili, Riyadh Rahef Nuiaa
Format:	Thesis
Language:	English
Published:	2023
Subjects:	T1-995 Technology(General)
Online Access:	http://eprints.usm.my/61328/1/24%20Pages%20from%20RIYADH%20RAHEF%20NUIAA%20AL%20OGAILI.pdf
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id	my-usm-ep.61328
record_format	uketd_dc
spelling	my-usm-ep.613282024-10-18T00:53:15Z An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique 2023-03 Al Ogaili, Riyadh Rahef Nuiaa T1-995 Technology(General) Demand for cyberspace-enabled services has expanded dramatically in recent years, in lockstep with the global Internet user population expansion. This rising demand for these services has increased the number of cyber threats launched by attackers, as well as the diversity and sophistication of the attack strategies used to target those services. By exploiting DNS flaws, cyber attackers conduct a Distributed Reflection Denial of Service (DRDoS) attack. As a result, these types of attacks exploit the method, functionality, and operation of open DNS resolvers to compromise the DNS. Additionally, to intensify the attack by boosting the attack bandwidth to overwhelm the victim with a vast number of DNS answers. As a result, traditional mechanisms are incapable of detecting these types of cyberattacks. As a result, existing detection mechanisms are unable to detect these forms of cyber intrusions. Thus, this thesis presents a mechanism for detecting DRDoS attacks on DNS that is strengthened by the use of modified metaheuristic algorithms and adaptive thresholding techniques based on machine learning algorithms (EMDDMAT). 2023-03 Thesis http://eprints.usm.my/61328/ http://eprints.usm.my/61328/1/24%20Pages%20from%20RIYADH%20RAHEF%20NUIAA%20AL%20OGAILI.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Ipv6 Termaju Negara
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T1-995 Technology(General)
spellingShingle	T1-995 Technology(General) Al Ogaili, Riyadh Rahef Nuiaa An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
description	Demand for cyberspace-enabled services has expanded dramatically in recent years, in lockstep with the global Internet user population expansion. This rising demand for these services has increased the number of cyber threats launched by attackers, as well as the diversity and sophistication of the attack strategies used to target those services. By exploiting DNS flaws, cyber attackers conduct a Distributed Reflection Denial of Service (DRDoS) attack. As a result, these types of attacks exploit the method, functionality, and operation of open DNS resolvers to compromise the DNS. Additionally, to intensify the attack by boosting the attack bandwidth to overwhelm the victim with a vast number of DNS answers. As a result, traditional mechanisms are incapable of detecting these types of cyberattacks. As a result, existing detection mechanisms are unable to detect these forms of cyber intrusions. Thus, this thesis presents a mechanism for detecting DRDoS attacks on DNS that is strengthened by the use of modified metaheuristic algorithms and adaptive thresholding techniques based on machine learning algorithms (EMDDMAT).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Al Ogaili, Riyadh Rahef Nuiaa
author_facet	Al Ogaili, Riyadh Rahef Nuiaa
author_sort	Al Ogaili, Riyadh Rahef Nuiaa
title	An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
title_short	An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
title_full	An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
title_fullStr	An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
title_full_unstemmed	An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
title_sort	enhanced mechanism to detect drdos attacks on dns using adaptive thresholding technique
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat Ipv6 Termaju Negara
publishDate	2023
url	http://eprints.usm.my/61328/1/24%20Pages%20from%20RIYADH%20RAHEF%20NUIAA%20AL%20OGAILI.pdf
_version_	1818647396528160768

An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique

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