Research Article
LNNLS-KH: A Feature Selection Method for Network Intrusion Detection
Table 1
Summary of feature selection methods in IDS.
| Method | Author | Year | Ref. no |
| Bayesian network-based dimensionality reduction and principal component analysis (PCA) | Smith et al. | 2010 | [16] | Ranking based on Mahalanobis distance and exhaustive search | Zhao et al. | 2013 | [17] | Iterative Dichotomiser 3 (ID3) algorithm | Singh and tiwari | 2015 | [18] | Mutual information method | Ambusaidi et al. | 2016 | [19] | Nonsymmetric deep autoencoder (NDAE) | Shone et al. | 2018 | [20] | Self-adaptive differential evolution (SaDE) | Xue et al. | 2018 | [21] | Principal component analysis (PCA) and linear discriminant analysis (LDA) | Shen et al. | 2019 | [22] | Hybrid network of convolutional neural network (CNN) and long short-term memory network (LSTM) | Sun et al. | 2020 | [23] | Cross-correlation-based feature selection (CCFS) method | Farahani | 2020 | [24] |
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