A novel local network intrusion detection system based on support vector machine

Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Appr...

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Main Authors: Mohammed, Muamer N., Norrozila, Sulaiman, Khalaf, Emad Taha
Format: Article
Language:English
Published: Science Publications 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24822/1/A%20novel%20local%20network%20intrusion%20detection%20system%20based%20on%20support%20vector%20machine.pdf
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author Mohammed, Muamer N.
Norrozila, Sulaiman
Khalaf, Emad Taha
author_facet Mohammed, Muamer N.
Norrozila, Sulaiman
Khalaf, Emad Taha
author_sort Mohammed, Muamer N.
collection UMP
description Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was proposed. First, the intrusion ways and intrusion connecting of Local Area Network were defined for putting forward the design requests on intrusion detection system of LAN. Second, the new method to recognized attack patterns which may give better coverage and make the detection more effective. Results and Conclusion: SVM was used as a detection system that recognizes anomalies and raises an alarm. The data that was used in our experiments originated from a campus lab. The result of the evaluation produced a better result in terms of the detection efficiency and false alarm rate.
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spelling UMPir248222019-07-08T03:06:14Z http://umpir.ump.edu.my/id/eprint/24822/ A novel local network intrusion detection system based on support vector machine Mohammed, Muamer N. Norrozila, Sulaiman Khalaf, Emad Taha QA76 Computer software Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was proposed. First, the intrusion ways and intrusion connecting of Local Area Network were defined for putting forward the design requests on intrusion detection system of LAN. Second, the new method to recognized attack patterns which may give better coverage and make the detection more effective. Results and Conclusion: SVM was used as a detection system that recognizes anomalies and raises an alarm. The data that was used in our experiments originated from a campus lab. The result of the evaluation produced a better result in terms of the detection efficiency and false alarm rate. Science Publications 2011 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/24822/1/A%20novel%20local%20network%20intrusion%20detection%20system%20based%20on%20support%20vector%20machine.pdf Mohammed, Muamer N. and Norrozila, Sulaiman and Khalaf, Emad Taha (2011) A novel local network intrusion detection system based on support vector machine. Journal of Computer Science, 7 (10). pp. 1560-1564. ISSN 1549-3636. (Published) https://thescipub.com/abstract/10.3844/jcssp.2011.1560.1564
spellingShingle QA76 Computer software
Mohammed, Muamer N.
Norrozila, Sulaiman
Khalaf, Emad Taha
A novel local network intrusion detection system based on support vector machine
title A novel local network intrusion detection system based on support vector machine
title_full A novel local network intrusion detection system based on support vector machine
title_fullStr A novel local network intrusion detection system based on support vector machine
title_full_unstemmed A novel local network intrusion detection system based on support vector machine
title_short A novel local network intrusion detection system based on support vector machine
title_sort novel local network intrusion detection system based on support vector machine
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/24822/1/A%20novel%20local%20network%20intrusion%20detection%20system%20based%20on%20support%20vector%20machine.pdf
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