Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review-Reference-Cited by-同舟云学术

Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review

Published:2020 Issue: Volume:171 Page:1251-1260
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Saranya T.,Sridevi S.,Deisy C.,Chung Tran Duc,Khan M.K.A.Ahamed

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Aburomman, A.A., &Reaz, M.B.I. (2016) "Ensemble of binary SVM classifiers based on PCA and LDA feature extraction for intrusion detection."Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC): 636-640.

2. Semi-supervised multi-layered clustering model for intrusion detection.;Al-Jarrah;Digital Communications and Networks,2018

3. Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system.;Al-Yaseen;Expert Systems with Applications,2017

4. Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system.;An;EURASIP Journal on Wireless Communications and Networking,2018

5. Performance evaluation of supervised machine learning algorithms for intrusion detection.;Belavagi;Procedia Computer Science,2016

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