Feature Selection of Network Intrusion Data using Genetic Algorithm and Particle Swarm Optimization

Feature Selection of Network Intrusion Data using Genetic Algorithm and Particle Swarm Optimization

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This paper describes the advantages of using Evolutionary Algorithms (EA) for feature selection on network intrusion dataset. Most current Network Intrusion Detection Systems (NIDS) are unable to detect intrusions in real time because of high dimensional data produced during daily operation. Extract...

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Bibliographic Details
Main Author: Iwan Syarif
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2016-12-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
feature selection, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Evolutionary Algorithm, intrusion detection
Online Access:http://emitter.pens.ac.id/index.php/emitter/article/view/149

Internet

http://emitter.pens.ac.id/index.php/emitter/article/view/149

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