Table 3 The impact of \(\alpha\) and \(\beta\) on experimental results in the NSL-KDD test dataset.
From: MEMCAIN: a memory-enhanced hybrid CNN-attention model for network anomaly detection
\(\alpha\) | \(\beta\) | ACC% | REC% | FPR% |
|---|---|---|---|---|
0.6 | 1.5 | 98.78 | 93.15 | 0.2 |
0.8 | 1.3 | 99.42 | 93.21 | 0.17 |
0.9 | 1.2 | 99.48 | 93.57 | 0.16 |
1.1 | 1.0 | 99.43 | 93.32 | 0.19 |
1.2 | 0.9 | 99.39 | 93.35 | 0.19 |
