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Rough Set Discretize Classification of Intrusion Detection System

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)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Rough set, equal frequency binning, discretization, classiffication, intrusion detection system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Rohani Abu Bakar
Date Deposited: 25 May 2018 06:57
Last Modified: 25 May 2018 06:57
URI: http://umpir.ump.edu.my/id/eprint/21201
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