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A Review on Soft Computing Technique in Intrusion Detection System

Sulaiman, Noor Suhana and Rohani, Abu Bakar and Norrozila, Sulaiman (2012) A Review on Soft Computing Technique in Intrusion Detection System. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 6 (12). pp. 1-6.

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Abstract

Intrusion Detection System is significant in network security. It detects and identifies intrusion behavior or intrusion attempts in a computer system by monitoring and analyzing the network packets in real time. In the recent year, intelligent algorithms applied in the intrusion detection system (IDS) have been an increasing concern with the rapid growth of the network security. IDS data deals with a huge amount of data which contains irrelevant and redundant features causing slow training and testing process, higher resource consumption as well as poor detection rate. Since the amount of audit data that an IDS needs to examine is very large even for a small network, classification by hand is impossible. Hence, the primary objective of this review is to review the techniques prior to classification process suit to IDS data.

Item Type: Article
Uncontrolled Keywords: Intrusion Detection System, security, soft computing, classification
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 06:36
Last Modified: 25 May 2018 06:36
URI: http://umpir.ump.edu.my/id/eprint/21196
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