A novel Intrusion Detection System by using intelligent data mining in WEKA environment

A novel Intrusion Detection System by using intelligent data mining in WEKA environment

Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxon...

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Bibliographic Details
Main Authors: Mohammed, Muamer N., Norrozila, Sulaiman, Abdulkarim Muhsin, Osama
Format: Article
Language:English
Published: Elsevier 2011
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/1/A%20novel%20Intrusion%20Detection%20System%20by%20using%20intelligent%20data%20mining%20in%20WEKA%20environment.pdf
id ump-24995
recordtype eprints
spelling ump-249952019-05-30T06:43:16Z http://umpir.ump.edu.my/id/eprint/24995/ A novel Intrusion Detection System by using intelligent data mining in WEKA environment Mohammed, Muamer N. Norrozila, Sulaiman Abdulkarim Muhsin, Osama QA76 Computer software Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxonomy consists of a classification of the detection principle as well as certain WEKA aspects of the intrusion detection system such as open-source data mining. The combining methods may give better performance of IDS systems, and make the detection more effective. The result of the evaluation of the new design produced a better result in terms of detection efficiency and false alarm rate from the existing problems. This presents useful information in intrusion detection. Elsevier 2011 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24995/1/A%20novel%20Intrusion%20Detection%20System%20by%20using%20intelligent%20data%20mining%20in%20WEKA%20environment.pdf Mohammed, Muamer N. and Norrozila, Sulaiman and Abdulkarim Muhsin, Osama (2011) A novel Intrusion Detection System by using intelligent data mining in WEKA environment. Procedia Computer Science, 3. pp. 1237-1242. ISSN 1877-0509 https://doi.org/10.1016/j.procs.2010.12.198 https://doi.org/10.1016/j.procs.2010.12.198
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
Mohammed, Muamer N.
Norrozila, Sulaiman
Abdulkarim Muhsin, Osama
A novel Intrusion Detection System by using intelligent data mining in WEKA environment
description Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxonomy consists of a classification of the detection principle as well as certain WEKA aspects of the intrusion detection system such as open-source data mining. The combining methods may give better performance of IDS systems, and make the detection more effective. The result of the evaluation of the new design produced a better result in terms of detection efficiency and false alarm rate from the existing problems. This presents useful information in intrusion detection.
format Article
author Mohammed, Muamer N.
Norrozila, Sulaiman
Abdulkarim Muhsin, Osama
author_facet Mohammed, Muamer N.
Norrozila, Sulaiman
Abdulkarim Muhsin, Osama
author_sort Mohammed, Muamer N.
title A novel Intrusion Detection System by using intelligent data mining in WEKA environment
title_short A novel Intrusion Detection System by using intelligent data mining in WEKA environment
title_full A novel Intrusion Detection System by using intelligent data mining in WEKA environment
title_fullStr A novel Intrusion Detection System by using intelligent data mining in WEKA environment
title_full_unstemmed A novel Intrusion Detection System by using intelligent data mining in WEKA environment
title_sort novel intrusion detection system by using intelligent data mining in weka environment
publisher Elsevier
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/
http://umpir.ump.edu.my/id/eprint/24995/1/A%20novel%20Intrusion%20Detection%20System%20by%20using%20intelligent%20data%20mining%20in%20WEKA%20environment.pdf
first_indexed 2023-09-18T22:38:09Z
last_indexed 2023-09-18T22:38:09Z
_version_ 1777416734333992960

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