Research Article
Securing the IoT System of Smart City against Cyber Threats Using Deep Learning
| | Name | Parameter |
| | Test size | 0.2 (for all classifier) | | Number of trees | 1000 (for random forest) and 500 (for majority voting) | | Loss | Categorical cross-entropy (for ANN/CNN) | | Optimizer | Adam (for ANN/CNN) | | Dropout | 0.5 (for ANN/CNN) | | Batch size | 20 (for ANN) and 128 (for CNN) | | Epochs | 15 (for ANN) and 20 (for CNN) |
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