Table 6 Accuracy analysis of the proposed methods with state of art methods.
From: Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm
Hybrid Classifier + Ant Lion Optimization | Hybrid Classifier + Aquila Optimizer | Hybrid Classifier + Butterfly Optimizer | Hybrid Classifier + Cat and Mouse Based Optimizer | Hybrid Classifier + SUCMO |
|---|---|---|---|---|
UNSW-NB15 Dataset | ||||
 0.805 | 0.788333 | 0.655 | 0.6125 | 0.933667 |
BoT-IoT Dataset | ||||
 0.805 | 0.785 | 0.763333 | 0.755 | 0.929692 |
