Intrusion-Detection System Based on Fast Learning Network in Cloud Computing

Detection of attacks in the computers and networks keeps being the pertinent and challenging area of researchers. Intrusion-Detection System is an essential technology of Network Security. Currently, Intrusion Detection still faces some challenges like huge amounts of data to process, high averages...

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Main Authors: Mohammed Hasan, Ali, Mohamad Fadli, Zolkipli
Format: Article
Language:English
Published: American Scientific Publisher 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/19618/1/17.%20Intrusion-Detection%20System%20Based%20on%20Fast%20Learning%20Network%20in%20Cloud%20Computing1.pdf
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spelling my.ump.umpir.196182018-11-12T04:27:35Z http://umpir.ump.edu.my/id/eprint/19618/ Intrusion-Detection System Based on Fast Learning Network in Cloud Computing Mohammed Hasan, Ali Mohamad Fadli, Zolkipli QA76 Computer software Detection of attacks in the computers and networks keeps being the pertinent and challenging area of researchers. Intrusion-Detection System is an essential technology of Network Security. Currently, Intrusion Detection still faces some challenges like huge amounts of data to process, high averages of false alarms and low detection rates., especially in cloud environment which more vulnerable to attacks. This paper includes an overview of the intrusion-detection system and introduces to the reader some fundamental concepts of IDS work in cloud computing, also propose a new algorithm Fast Learning Network to work based on an intrusion detection. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19618/1/17.%20Intrusion-Detection%20System%20Based%20on%20Fast%20Learning%20Network%20in%20Cloud%20Computing1.pdf Mohammed Hasan, Ali and Mohamad Fadli, Zolkipli (2018) Intrusion-Detection System Based on Fast Learning Network in Cloud Computing. Advanced Science Letters, 24 (10). pp. 7360-7363. ISSN 1936-6612 http://icsecs.ump.edu.my/index.php/en/# DOI: 10.1166/asl.2018.12942
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Mohammed Hasan, Ali
Mohamad Fadli, Zolkipli
Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
description Detection of attacks in the computers and networks keeps being the pertinent and challenging area of researchers. Intrusion-Detection System is an essential technology of Network Security. Currently, Intrusion Detection still faces some challenges like huge amounts of data to process, high averages of false alarms and low detection rates., especially in cloud environment which more vulnerable to attacks. This paper includes an overview of the intrusion-detection system and introduces to the reader some fundamental concepts of IDS work in cloud computing, also propose a new algorithm Fast Learning Network to work based on an intrusion detection.
format Article
author Mohammed Hasan, Ali
Mohamad Fadli, Zolkipli
author_facet Mohammed Hasan, Ali
Mohamad Fadli, Zolkipli
author_sort Mohammed Hasan, Ali
title Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
title_short Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
title_full Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
title_fullStr Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
title_full_unstemmed Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
title_sort intrusion-detection system based on fast learning network in cloud computing
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19618/1/17.%20Intrusion-Detection%20System%20Based%20on%20Fast%20Learning%20Network%20in%20Cloud%20Computing1.pdf
http://umpir.ump.edu.my/id/eprint/19618/
http://icsecs.ump.edu.my/index.php/en/#
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