Research Article
Network Anomaly Traffic Detection Algorithm Based on RIC-SC-DeCN
Table 3
Comparative experiment of classification model.
| Method | AR (%) | RR (%) | FAR (%) | F-Score (%) | Model-time (s) |
| LSTM | 81.28 | 81.27 | 18.72 | 81.27 | 1892.07 | CNN-LSTM | 92.88 | 92.72 | 7.27 | 92.95 | 2079.37 | DSAE | 76.79 | 81.61 | 18.38 | 87.95 | 52.81 | MSCNN | 91.56 | 91.49 | 9.50 | 91.55 | 409.78 | PCCN | 95.41 | 95.39 | 4.25 | 95.40 | 2014.49 | SC-DeCN | 96.55 | 96.25 | 3.74 | 96.28 | 1866.41 |
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