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 | 0.9903 | 1 | 0.919 | 0.9969 | 0.9728 | 0.9905 | 0.9994 | 1 | 0.9958 | 0.9999 | 0.9993 | 0.9964 | ISN | 1 | 1 | 0.9874 | 0.9995 | 0.9896 | 0.9941 | 0.9999 | 1 | 1 | 1 | 0.9998 | 0.9993 | PCCN | 1 | 1 | 0.9844 | 0.9994 | 0.973 | 0.985 | 1 | 1 | 1 | 0.9999 | 0.9998 | 0.9993 | CNN | 0.9964 | 1 | 0.9483 | 0.9979 | 0.9694 | 0.9864 | 0.9994 | 0.9992 | 0.9991 | 0.9999 | 0.9993 | 0.9964 | CNN_LSTM | 0.9952 | 1 | 0.874 | 0.9953 | 0.9447 | 0.9756 | 0.999 | 0.9997 | 0.9986 | 0.9998 | 0.9994 | 0.995 | ITSN | 1 | 1 | 0.9884 | 0.9995 | 0.9867 | 0.9934 | 1 | 1 | 1 | 1 | 0.9999 | 0.9979 |
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