Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller

The wide proliferation of telecommunication technologies in the last decade also gives rise to many sophisticated security threats. Software-Defined Networking (SDN) is a new networking architecture that isolates the network control plane from the data plane that offers better features and functiona...

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Main Author:	Aladaileh, Mohammad Adnan Ahmad
Format:	Thesis
Language:	English
Published:	2021
Subjects:	T1-995 Technology(General)
Online Access:	http://eprints.usm.my/52057/1/MOHAMMAD%20ADNAN%20AHMAD%20ALADAILEH.pdf
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id	my-usm-ep.52057
record_format	uketd_dc
spelling	my-usm-ep.520572022-03-28T07:22:03Z Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller 2021-03 Aladaileh, Mohammad Adnan Ahmad T1-995 Technology(General) The wide proliferation of telecommunication technologies in the last decade also gives rise to many sophisticated security threats. Software-Defined Networking (SDN) is a new networking architecture that isolates the network control plane from the data plane that offers better features and functionalities to detect and deal with those security threats. Its programmable elastic feature permits efficient network management and provides network operators with the flexibility to monitor and fine-tune their network. However, the new technology is not free from new security concerns. The Distributed Denial of Service (DDoS) attack is one of the major concerns that mainly targets the SDN controller and threatens the security of the SDN networks. Since the controller is the key and focal component of the SDN, any problem occurring at the controller may degrade or even collapses the entire network. Therefore, there is a dire need for an effective approach to detect low rate DDoS attacks with high accuracy and low false positive rate. Thus, this thesis proposes an efficient DDoS attack detection approach called Generalized Entropy-Based Approach with a Dynamic Threshold to Detect DDoS Attacks on Software-Defined Networking Controller (GEADDDC). GEADDDC generalizes the Renyi Joint Entropy algorithm and uses a dynamic threshold to detect DDoS attacks on the SDN controller. 2021-03 Thesis http://eprints.usm.my/52057/ http://eprints.usm.my/52057/1/MOHAMMAD%20ADNAN%20AHMAD%20ALADAILEH.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) Aladaileh, Mohammad Adnan Ahmad Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
description	The wide proliferation of telecommunication technologies in the last decade also gives rise to many sophisticated security threats. Software-Defined Networking (SDN) is a new networking architecture that isolates the network control plane from the data plane that offers better features and functionalities to detect and deal with those security threats. Its programmable elastic feature permits efficient network management and provides network operators with the flexibility to monitor and fine-tune their network. However, the new technology is not free from new security concerns. The Distributed Denial of Service (DDoS) attack is one of the major concerns that mainly targets the SDN controller and threatens the security of the SDN networks. Since the controller is the key and focal component of the SDN, any problem occurring at the controller may degrade or even collapses the entire network. Therefore, there is a dire need for an effective approach to detect low rate DDoS attacks with high accuracy and low false positive rate. Thus, this thesis proposes an efficient DDoS attack detection approach called Generalized Entropy-Based Approach with a Dynamic Threshold to Detect DDoS Attacks on Software-Defined Networking Controller (GEADDDC). GEADDDC generalizes the Renyi Joint Entropy algorithm and uses a dynamic threshold to detect DDoS attacks on the SDN controller.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Aladaileh, Mohammad Adnan Ahmad
author_facet	Aladaileh, Mohammad Adnan Ahmad
author_sort	Aladaileh, Mohammad Adnan Ahmad
title	Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
title_short	Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
title_full	Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
title_fullStr	Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
title_full_unstemmed	Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
title_sort	generalized entropy-based approach with a dynamic threshold to detect ddos attacks on software defined networking controller
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat IPv6 Termaju Negara
publishDate	2021
url	http://eprints.usm.my/52057/1/MOHAMMAD%20ADNAN%20AHMAD%20ALADAILEH.pdf
_version_	1747822130509119488

Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller

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