Research Article
Securing the IoT System of Smart City against Cyber Threats Using Deep Learning
Table 8
Results comparisons in state of the art on public datasets.
| Reference | Technique | Dataset | Accuracy (%) |
| Proposed | Voting classifier with SMOTE | ToN-IoT telemetry | 99.7 | [35] | Deep random neural network | UNSW-NB15 | 99.5 | [36] | Deep learning | NSL-KDD | 86.95 |
|
|