Table 13 Accuracy of different methods on UNSW-NB15
From: Network security situation prediction based on feature separation and dual attention mechanism
Method | Accuracy (Tst) | ||
|---|---|---|---|
Mean (%) | Max (%) | Min (%) | |
one-hot + RNN | 92.953 | 92.958 | 92.948 |
one-hot+global attention+RNN | 92.945 | 92.950 | 92.939 |
FSDAM + RNN | 92.962 | 92.967 | 92.958 |