Table 9 Comparison between different existing methods and our proposed approach for UNSW-NB 15
Proposed by | ML methods used for IDS | Accuracy(%) | Recall/detection rate (DR) (%) | F1 score (%) |
|---|---|---|---|---|
Alazzam et al. (2020) | Cosine-PIO DT | 91.7 | – | 90 |
Khan et al. (2018) | RF | 75.65 | 76 | 73 |
Jing and Chen (2019) | SVM | 85.99 | – | – |
Kasongo and Sun (2020) | DT | 90.85 | 98.38 | 88.45 |
Meftah et al. (2019) | SVM | 82.11 | – | – |
Tama and Rhee (2019) | GBM | 91.31 | – | – |
Aboueata et al. (2019) | SVM | 92 | 92 | 91 |
Gu and Lu (2021) | NB-SVM | 93.75 | 94.73 | – |
Proposed approach | GIWRF-DT | 93.01 | 94.76 | 93.72 |