Table 15 Comparison of the proposed model with Lin et al. [13]
From: A novel time efficient learning-based approach for smart intrusion detection system
Models | Sensitivity (%) | Accuracy (%) | Prediction time |
|---|---|---|---|
Deep Learning method using LSTM | 96 | 96.2 | 13.880Â s |
Hybrid Feature Selection + Light GBM (proposed) | 96 | 97.73 | 0.138008 s |