Table 13 Comparison of the proposed model with existing Deep learning model [16]
From: A novel time efficient learning-based approach for smart intrusion detection system
Deep learning approach | Accuracy (%) | Prediction latency (S) |
|---|---|---|
Deep Neural Network (DNN) | 96.653 | 9.496 |
Recurrent neural networks (RNN) | 96.886 | 11.3063 |
Convolutional neural networks (CNN) | 96.913 | 37.36531 |
Proposed Model (Hybrid feature selection + Light GBM) | 97.73 | 0.138008 |