Figure 1:
Hybrid Architecture for the Recommended Approach
Figure 2:
Visualization of the Protocol types of the Dataset
Figure 3:
Visualization of the Normal and attacked flags
Figure 4:
CNN Architecture
Figure 5:
Architecture for GRU
Table 1:
Performance measures utilized for assessment
| SL.NO | Evaluation Metrics | Mathematical Expression |
|---|---|---|
| 01 | Accuracy | |
| 02 | Recall | |
| 03 | Specificity | |
| 04 | Precision | |
| 05 | F1-Score |
Table 2:
Comparative Analysis between the Different Models
| Algorithms / Performance Metrics | ACCURACY | PRECISION | RECALL | F1 SCORE |
|---|---|---|---|---|
| RNN | 93.3 | 90.1 | 89.4 | 91 |
| CNN | 94.3 | 92.1 | 91.4 | 91.7 |
| GRU | 92.8 | 91.3 | 90.6 | 90.9 |
| LSTM | 93 | 92.4 | 92 | 90.5 |
| CNN+LSTM | 96.2 | 94.8 | 94.1 | 94.4 |
| PROPOSED | 98.2 | 98.1 | 96 | 96.8 |
Figure 6:
Performance Metrics Visualization