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Table 6 Comparison of the proposed model with the state-of-the-art on the NSL-KDD

From: Intrusion detection system combined enhanced random forest with SMOTE algorithm

Study

Dataset

Classifier

ACC (%)

Golrang et al. [19]

NSL-KDD

Random forest

99.4

Gao et al. [20]

Incremental extreme learning machine (I-ELM) and adaptive principal component (A-PCA)

81.22

Belouch et al. [21]

RepTree

89.85

Salo F et al. [22]

Ensemble (SVM, IBK and MLP)

98.24

Our method

Enhanced random forest

99.72