Rough Set Discretize Classification of Intrusion Detection System

Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the arising issue. In rough set, there are several stage processing including discretization pa...

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Main Authors: Noor Suhana, Sulaiman, Rohani, Abu Bakar
Format: Article
Language:English
Published: Medwell Journals 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf
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spelling ump-212012018-05-25T06:57:19Z http://umpir.ump.edu.my/id/eprint/21201/ Rough Set Discretize Classification of Intrusion Detection System Noor Suhana, Sulaiman Rohani, Abu Bakar QA75 Electronic computers. Computer science Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the arising issue. In rough set, there are several stage processing including discretization part which is a vital task in data mining, particularly in the classification problem. Two results distinguish showing that the discretization stage is hugely important in both training and testing of IDS data. In proposed framework, analysis should been done to discretization, reduct and rules stage to determine the significant algorithm and core element in IDS data. The classification using standard voting, since it is a rule-based classification. Medwell Journals 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf Noor Suhana, Sulaiman and Rohani, Abu Bakar (2016) Rough Set Discretize Classification of Intrusion Detection System. Journal of Engineering and Applied Sciences, 11 (3). pp. 488-496. ISSN 1816-949x (Print); 1818-7803 (Online) https://www.medwelljournals.com/abstract/?doi=jeasci.2016.488.496 DOI: 10.3923/jeasci.2016.488.496
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Noor Suhana, Sulaiman
Rohani, Abu Bakar
Rough Set Discretize Classification of Intrusion Detection System
description Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the arising issue. In rough set, there are several stage processing including discretization part which is a vital task in data mining, particularly in the classification problem. Two results distinguish showing that the discretization stage is hugely important in both training and testing of IDS data. In proposed framework, analysis should been done to discretization, reduct and rules stage to determine the significant algorithm and core element in IDS data. The classification using standard voting, since it is a rule-based classification.
format Article
author Noor Suhana, Sulaiman
Rohani, Abu Bakar
author_facet Noor Suhana, Sulaiman
Rohani, Abu Bakar
author_sort Noor Suhana, Sulaiman
title Rough Set Discretize Classification of Intrusion Detection System
title_short Rough Set Discretize Classification of Intrusion Detection System
title_full Rough Set Discretize Classification of Intrusion Detection System
title_fullStr Rough Set Discretize Classification of Intrusion Detection System
title_full_unstemmed Rough Set Discretize Classification of Intrusion Detection System
title_sort rough set discretize classification of intrusion detection system
publisher Medwell Journals
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/
http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf
first_indexed 2023-09-18T22:31:01Z
last_indexed 2023-09-18T22:31:01Z
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