Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing

Cloud computing is a rapidly developing Internet technology for facilitating various services to consumers. This technology suggests a considerable potential to the public or to large companies, such as Amazon, Google, Microsoft and IBM. This technology is aimed at providing a flexible IT architectu...

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Main Authors:	Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, M. N. M., Kahar
Other Authors:	Vasant, Pandian
Format:	Book Section
Language:	English English
Published:	Springer Nature 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/1/Network%20Intrusion%20Detection%20Framework1.pdf http://umpir.ump.edu.my/id/eprint/22303/7/21.%20Network%20Intrusion%20Detection%20Framework%20Based%20on%20Whale%20Swarm%20Algorithm.pdf

id	ump-22303
recordtype	eprints
spelling	ump-223032019-11-12T03:15:13Z http://umpir.ump.edu.my/id/eprint/22303/ Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing Fahad, Ahmed Mohammed Ahmed, Abdulghani Ali M. N. M., Kahar QA75 Electronic computers. Computer science Cloud computing is a rapidly developing Internet technology for facilitating various services to consumers. This technology suggests a considerable potential to the public or to large companies, such as Amazon, Google, Microsoft and IBM. This technology is aimed at providing a flexible IT architecture which is accessible through the Internet for lightweight portability. However, many issues must be resolved before cloud computing can be accepted as a viable option to business computing. Cloud computing undergoes several challenges in security because it is prone to numerous attacks, such as flooding attacks which are the major problems in cloud computing and one of the serious threat to cloud computing originates came from denial of service. This research is aimed at exploring the mechanisms or models that can detect attacks. Intrusion detection system is a detection model for these attacks and is divided into two-type H-IDS and N-IDS. We focus on the N-IDS in Eucalyptus cloud computing to detect DDoS attacks, such as UDP and TCP, to evaluate the output dataset in MATLAB. Therefore, all technology reviews will be solely based on network traffic data. Furthermore, the H-IDS is disregarded in this work. Springer Nature Vasant, Pandian Zelinka, Ivan Weber, Gerhard-Wilhelm 2019 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22303/1/Network%20Intrusion%20Detection%20Framework1.pdf pdf en http://umpir.ump.edu.my/id/eprint/22303/7/21.%20Network%20Intrusion%20Detection%20Framework%20Based%20on%20Whale%20Swarm%20Algorithm.pdf Fahad, Ahmed Mohammed and Ahmed, Abdulghani Ali and M. N. M., Kahar (2019) Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing. In: ICO 2018: Intelligent Computing & Optimization. Advances in Intelligent Systems and Computing, 866 . Springer Nature, Switzerland, pp. 56-65. ISBN 978-3-030-00979-3 https://doi.org/10.1007/978-3-030-00979-3_6 https://doi.org/10.1007/978-3-030-00979-3_6
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Fahad, Ahmed Mohammed Ahmed, Abdulghani Ali M. N. M., Kahar Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
description	Cloud computing is a rapidly developing Internet technology for facilitating various services to consumers. This technology suggests a considerable potential to the public or to large companies, such as Amazon, Google, Microsoft and IBM. This technology is aimed at providing a flexible IT architecture which is accessible through the Internet for lightweight portability. However, many issues must be resolved before cloud computing can be accepted as a viable option to business computing. Cloud computing undergoes several challenges in security because it is prone to numerous attacks, such as flooding attacks which are the major problems in cloud computing and one of the serious threat to cloud computing originates came from denial of service. This research is aimed at exploring the mechanisms or models that can detect attacks. Intrusion detection system is a detection model for these attacks and is divided into two-type H-IDS and N-IDS. We focus on the N-IDS in Eucalyptus cloud computing to detect DDoS attacks, such as UDP and TCP, to evaluate the output dataset in MATLAB. Therefore, all technology reviews will be solely based on network traffic data. Furthermore, the H-IDS is disregarded in this work.
author2	Vasant, Pandian
author_facet	Vasant, Pandian Fahad, Ahmed Mohammed Ahmed, Abdulghani Ali M. N. M., Kahar
format	Book Section
author	Fahad, Ahmed Mohammed Ahmed, Abdulghani Ali M. N. M., Kahar
author_sort	Fahad, Ahmed Mohammed
title	Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
title_short	Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
title_full	Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
title_fullStr	Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
title_full_unstemmed	Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
title_sort	network intrusion detection framework based on whale swarm algorithm and artificial neural network in cloud computing
publisher	Springer Nature
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/ http://umpir.ump.edu.my/id/eprint/22303/1/Network%20Intrusion%20Detection%20Framework1.pdf http://umpir.ump.edu.my/id/eprint/22303/7/21.%20Network%20Intrusion%20Detection%20Framework%20Based%20on%20Whale%20Swarm%20Algorithm.pdf
first_indexed	2023-09-18T22:33:07Z
last_indexed	2023-09-18T22:33:07Z
_version_	1777416418399092736

Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing

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