Machine Learning Classification for Intrusion Detection Systems Using the NSL-KDD Dataset
Author:
Affiliation:
1. Thammasat University,Data Science and Innovation, College of Interdisciplinary Studies,Pathum Thani,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10532250/10532227/10532265.pdf?arnumber=10532265
Reference21 articles.
1. Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning
2. An Ensemble Approach for Feature Selection and Classification in Intrusion Detection Using Extra-Tree Algorithm
3. Data Processing and Model Selection for Machine Learning-based Network Intrusion Detection
4. HFSTE: Hybrid Feature Selections and Tree-Based Classifiers Ensemble for Intrusion Detection System
5. SMOTE: Synthetic Minority Over-sampling Technique
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