Table 7 Model results and comparison on the CICIDS2017 dataset.
From: MEMCAIN: a memory-enhanced hybrid CNN-attention model for network anomaly detection
Model | ACC% | REC% | FPR% |
|---|---|---|---|
LR | 87.00 | 87.00 | – |
DT | 94.00 | 94.00 | – |
RF | 94.40 | 94.40 | – |
CSE-IDS | 92.00 | – | – |
DNN | 95.60 | 95.60 | – |
MEMCAIN (ours) | 99.08 | 97.07 | 0.17 |
