Table 2 Summary of datasets.
From: Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm
Attribute | Value |
|---|---|
UNSW-NB15 Dataset | |
 Total Instances | 120 |
 Normal Instances | 60 |
 Attack Instances | 60 |
 Number of Features | 19 |
 Number of Classes | 2 |
Bot-IoT Dataset | |
 Total Instances | 2000 |
 Normal Instances | 1000 |
 Attack Instances | 1000 |
 Number of Features | 24 |
 Number of Classes | 9 |
