A hybrid machine learning method for increasing the performance of network intrusion detection systems

Journal of Big Data

Table 8 Accuracy comparison using the UNSW-NB15 dataset [27]

Paper	Methods	Accuracy (%)
Nawir et al. [37]	Average One Dependence Estimator (AODE)	94.37
Nawir et al. [37]	Bayesian Network (BN)	92.7
Kasongo and Sun [38]	Feature Norm. + XGBoost + DT	90.85
	Feature Norm. + XGBoost + ANN	84.39
	Feature Norm. + XGBoost + LR	77.64
	Feature Norm. + XGBoost + KNN	84.46
	Feature Norm. + XGBoost + SVM	60.89
Belouch et al. [39]	RepTree	88.95
Roy and Cheung [40]	BLSTM RNN	95.71
Viet et al. [41]	Deep Belief Network	99.45
Jing and Chen [42]	SVM Modeling	85.99
Proposed method	Hybrid Machine Learning Method	91.86