A Feature Selection Approach Based On Hybridizing Flower Pollination Algorithm With Particle Swarm Optimization For Enhancing The Performance Of Ipv6 Intrusion Detection System

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A Feature Selection Approach Based On Hybridizing Flower Pollination Algorithm With Particle Swarm Optimization For Enhancing The Performance Of Ipv6 Intrusion Detection System

The proposed approach is evaluated using the “ICMPv6 dataset on different attacks”. The experimental results show that the first proposed approach achieved the best classification accuracy, i.e., 97.96% in terms of the number of features, and it reduced the number of features from 19 to 10 features....

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Bibliographic Details
Main Author:	Al Ghuraibawi, Adnan Hasan Bdair
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/63003/ http://eprints.usm.my/63003/1/Pages%20from%20ADNAN%20HASAN%20BDAIR%20AL%20GHURAIBAWI%20-%20TESIS.pdf

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