An efficient IDS using hybrid Magnetic swarm optimization in WANETs

Sophisticated Intrusion attacks against various types of networks are ever increasing today with the exploitation of modern technologies which often severely affect wireless networks. In order to improve the effectiveness of intrusion detection systems (IDSs), data analysis methods such as data mini...

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Main Authors:	Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar
Format:	Article
Language:	English
Published:	IEEE 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/1/An%20efficient%20IDS%20using%20hybrid%20Magnetic%20swarm%20optimization%20in%20WANETs.pdf

id	ump-23053
recordtype	eprints
spelling	ump-230532019-01-28T09:03:11Z http://umpir.ump.edu.my/id/eprint/23053/ An efficient IDS using hybrid Magnetic swarm optimization in WANETs Sadiq, Ali Safa Alkazemi, Basem Y. Mirjalili, Seyedali Noraziah, Ahmad Khan, Suleman Ihsan, Ali Pathan, Al-Sakib Khan Ghafoor, Kayhan Zrar QA76 Computer software Sophisticated Intrusion attacks against various types of networks are ever increasing today with the exploitation of modern technologies which often severely affect wireless networks. In order to improve the effectiveness of intrusion detection systems (IDSs), data analysis methods such as data mining and classification methods are often integrated with IDSs. Though, numerous studies have contributed in various ways to improve the utilization of data mining for IDS, effective solution often depends on the network setting where the IDS is deployed. In this paper, we propose an efficient IDS based on hybrid heuristic optimization algorithm which is inspired by magnetic field theory in physics that deals with attraction between particles scattered in the search space. Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. These features are extracted by tagged index values that represent the information gain out of the training course of the classifier to be used as a base for our developed IDS. In order to improve the accuracy of artificial neural network (ANN) classifier, we have integrated our proposed hybrid magnetic optimization algorithm-particle swarm optimization (MOA-PSO) technique. Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. Updated KDD CUP data set is formed and used during the training and testing phases, where this data set consists of mixed data traffics between attacks and normal activities. Our results show significant gain in terms of efficiency compared to other alternative mechanisms. IEEE 2018-05 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23053/1/An%20efficient%20IDS%20using%20hybrid%20Magnetic%20swarm%20optimization%20in%20WANETs.pdf Sadiq, Ali Safa and Alkazemi, Basem Y. and Mirjalili, Seyedali and Noraziah, Ahmad and Khan, Suleman and Ihsan, Ali and Pathan, Al-Sakib Khan and Ghafoor, Kayhan Zrar (2018) An efficient IDS using hybrid Magnetic swarm optimization in WANETs. IEEE Access, 6. pp. 29041-29053. ISSN 2169-3536 https://ieeexplore.ieee.org/abstract/document/8358221 https://doi.org/10.1109/ACCESS.2018.2835166
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Sadiq, Ali Safa Alkazemi, Basem Y. Mirjalili, Seyedali Noraziah, Ahmad Khan, Suleman Ihsan, Ali Pathan, Al-Sakib Khan Ghafoor, Kayhan Zrar An efficient IDS using hybrid Magnetic swarm optimization in WANETs
description	Sophisticated Intrusion attacks against various types of networks are ever increasing today with the exploitation of modern technologies which often severely affect wireless networks. In order to improve the effectiveness of intrusion detection systems (IDSs), data analysis methods such as data mining and classification methods are often integrated with IDSs. Though, numerous studies have contributed in various ways to improve the utilization of data mining for IDS, effective solution often depends on the network setting where the IDS is deployed. In this paper, we propose an efficient IDS based on hybrid heuristic optimization algorithm which is inspired by magnetic field theory in physics that deals with attraction between particles scattered in the search space. Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. These features are extracted by tagged index values that represent the information gain out of the training course of the classifier to be used as a base for our developed IDS. In order to improve the accuracy of artificial neural network (ANN) classifier, we have integrated our proposed hybrid magnetic optimization algorithm-particle swarm optimization (MOA-PSO) technique. Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. Updated KDD CUP data set is formed and used during the training and testing phases, where this data set consists of mixed data traffics between attacks and normal activities. Our results show significant gain in terms of efficiency compared to other alternative mechanisms.
format	Article
author	Sadiq, Ali Safa Alkazemi, Basem Y. Mirjalili, Seyedali Noraziah, Ahmad Khan, Suleman Ihsan, Ali Pathan, Al-Sakib Khan Ghafoor, Kayhan Zrar
author_facet	Sadiq, Ali Safa Alkazemi, Basem Y. Mirjalili, Seyedali Noraziah, Ahmad Khan, Suleman Ihsan, Ali Pathan, Al-Sakib Khan Ghafoor, Kayhan Zrar
author_sort	Sadiq, Ali Safa
title	An efficient IDS using hybrid Magnetic swarm optimization in WANETs
title_short	An efficient IDS using hybrid Magnetic swarm optimization in WANETs
title_full	An efficient IDS using hybrid Magnetic swarm optimization in WANETs
title_fullStr	An efficient IDS using hybrid Magnetic swarm optimization in WANETs
title_full_unstemmed	An efficient IDS using hybrid Magnetic swarm optimization in WANETs
title_sort	efficient ids using hybrid magnetic swarm optimization in wanets
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/ http://umpir.ump.edu.my/id/eprint/23053/1/An%20efficient%20IDS%20using%20hybrid%20Magnetic%20swarm%20optimization%20in%20WANETs.pdf
first_indexed	2023-09-18T22:34:23Z
last_indexed	2023-09-18T22:34:23Z
_version_	1777416497872764928

An efficient IDS using hybrid Magnetic swarm optimization in WANETs

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