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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband

Owing to the distributed nature of modern attacks (e.g. denial-of-service), it is extremely challenging to detect such malicious behaviour using traditional intrusion detection systems. In this thesis, we investigate the possibility of adapting an intelligent system to an Intrusion Detection System...

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Main Author:	Shamshirband, Shahaboddin
Format:	Thesis
Published:	2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://studentsrepo.um.edu.my/4672/1/Full_Chapters%2DShahab%2D_22_Nov%2D_Final_Final_Final_Final_Final_.pdf http://studentsrepo.um.edu.my/4672/
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spelling	my.um.stud.46722015-03-10T02:20:07Z Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband Shamshirband, Shahaboddin QA75 Electronic computers. Computer science Owing to the distributed nature of modern attacks (e.g. denial-of-service), it is extremely challenging to detect such malicious behaviour using traditional intrusion detection systems. In this thesis, we investigate the possibility of adapting an intelligent system to an Intrusion Detection System (IDS) by proposing a cooperative and intelligent detection and prevention system using machine learning approaches, and aim to facilitate the detection and prevention process in a distributed environment. Firstly, we review the state of the art of intelligent intrusion detection and prevention system (IIDPS), and highlight the security requirement of cooperative based-IIDPS. Adaptive optimization techniques such as fuzzy logic controller (FLC), reinforcement learning are discussed in this thesis in order to adopt Q-leaning algorithm to FLCs. We investigate the detection capability based on the fuzzy Q-learning (FQL) algorithm and evaluate it using distribute denial of service attacks (DDoS). Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. This thesis evaluates the proposed solution using flooding attacks in wireless sensor networks (i.e. a type of DDoS attack). In order to measure the evaluation, several performance metrics, such as frequency of convergence of the detection scheme, accuracy of detection, false alarm rate, defence rate and energy consumption, are addressed as part of detection and prevention scheme. We perform the aforementioned investigations using several simulation experiments. The quantitative results acquired from the experiments are benchmarked with corresponding results acquired from the cooperative attack detection scheme. Through the result comparisons, we demonstrate the significance of cooperative detection mechanism, for detecting distributed denial of service attacks in a timely and energy-efficient manner, accuracy of detection and defence, as well as false alarm rate. 2014 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/4672/1/Full_Chapters%2DShahab%2D_22_Nov%2D_Final_Final_Final_Final_Final_.pdf Shamshirband, Shahaboddin (2014) Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband. PhD thesis, University of Malaya. http://studentsrepo.um.edu.my/4672/
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Student Repository
url_provider	http://studentsrepo.um.edu.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Shamshirband, Shahaboddin Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
description	Owing to the distributed nature of modern attacks (e.g. denial-of-service), it is extremely challenging to detect such malicious behaviour using traditional intrusion detection systems. In this thesis, we investigate the possibility of adapting an intelligent system to an Intrusion Detection System (IDS) by proposing a cooperative and intelligent detection and prevention system using machine learning approaches, and aim to facilitate the detection and prevention process in a distributed environment. Firstly, we review the state of the art of intelligent intrusion detection and prevention system (IIDPS), and highlight the security requirement of cooperative based-IIDPS. Adaptive optimization techniques such as fuzzy logic controller (FLC), reinforcement learning are discussed in this thesis in order to adopt Q-leaning algorithm to FLCs. We investigate the detection capability based on the fuzzy Q-learning (FQL) algorithm and evaluate it using distribute denial of service attacks (DDoS). Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. This thesis evaluates the proposed solution using flooding attacks in wireless sensor networks (i.e. a type of DDoS attack). In order to measure the evaluation, several performance metrics, such as frequency of convergence of the detection scheme, accuracy of detection, false alarm rate, defence rate and energy consumption, are addressed as part of detection and prevention scheme. We perform the aforementioned investigations using several simulation experiments. The quantitative results acquired from the experiments are benchmarked with corresponding results acquired from the cooperative attack detection scheme. Through the result comparisons, we demonstrate the significance of cooperative detection mechanism, for detecting distributed denial of service attacks in a timely and energy-efficient manner, accuracy of detection and defence, as well as false alarm rate.
format	Thesis
author	Shamshirband, Shahaboddin
author_facet	Shamshirband, Shahaboddin
author_sort	Shamshirband, Shahaboddin
title	Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
title_short	Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
title_full	Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
title_fullStr	Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
title_full_unstemmed	Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
title_sort	cooperative multi agents for intelligent intrusion detection and prevention systems / shahaboddin shamshirband
publishDate	2014
url	http://studentsrepo.um.edu.my/4672/1/Full_Chapters%2DShahab%2D_22_Nov%2D_Final_Final_Final_Final_Final_.pdf http://studentsrepo.um.edu.my/4672/
_version_	1738505698193440768
score	13.211869

Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband

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