Research Article
Design and Implementation of an Anomaly Network Traffic Detection Model Integrating Temporal and Spatial Features
| Label | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| BILSTM | 0.9976 | 1 | 0.9817 | 0.9942 | 0.9707 | 0.9933 | 0.9997 | 1 | 0.9935 | 0.9999 | 0.9996 | 0.9962 | ISN | 1 | 1 | 0.9925 | 0.9993 | 0.9853 | 0.9957 | 1 | 1 | 1 | 1 | 0.9996 | 1 | PCCN | 1 | 1 | 0.9863 | 0.9993 | 0.9901 | 0.9762 | 1 | 1 | 1 | 0.9999 | 1 | 0.9986 | CNN | 1 | 0.9999 | 0.946 | 0.9979 | 0.9719 | 0.989 | 0.9997 | 0.9985 | 0.9981 | 0.9999 | 0.9996 | 0.9962 | CNN_LSTM | 0.9952 | 0.9999 | 0.9692 | 0.9912 | 0.9727 | 0.9669 | 1 | 0.9995 | 0.9991 | 0.9999 | 0.9995 | 0.9943 | ITSN | 1 | 1 | 0.9941 | 0.9993 | 0.9896 | 0.9924 | 1 | 1 | 1 | 1 | 0.9998 | 0.9957 |
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