Research Article
EFS-DNN: An Ensemble Feature Selection-Based Deep Learning Approach to Network Intrusion Detection System
Table 1
Summary of the surveyed paper. We categorize these models according to the types of feature selector and classifier.
| Methods | Feature selector | Classifier | Single | Ensemble | Shallow (single or ensemble) | Deep |
| [26] | | | ✓ | | EID3 [27] | | | ✓ | | MARK-ELM [28] | | | ✓ | | HAST-IDS [29] | | | | ✓ | KitNet [30] | | | | ✓ | SwiftIDS [12] | | | ✓ | | H2ID [31] | | | | ✓ | WIDMoDS [32] | | | ✓ | | XGBoost-DNN [33] | | | | ✓ | PSO-KNN [20] | ✓ | | ✓ | | Chi-SVM [34] | ✓ | | ✓ | | PIO-IDS [10] | ✓ | | ✓ | | SMOTE-CFS [19] | ✓ | | ✓ | | CFS-BA [21] | ✓ | | ✓ | | LSSVM-IDS [9] | ✓ | | ✓ | | [22] | ✓ | | ✓ | | NDAE [35] | ✓ | | ✓ | | DBN-SVM [18] | ✓ | | ✓ | | WFEU-FFDNN [1] | ✓ | | | ✓ | AE-IDS [23] | ✓ | | | ✓ | DL-SVM [36] | ✓ | | ✓ | | SVM-IDS [24] | | ✓ | ✓ | | EFS-DNN | | ✓ | | ✓ |
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