Research Article
Securing the IoT System of Smart City against Cyber Threats Using Deep Learning
Table 7
The accuracy obtained on each classifier.
| Dataset | Classifier | Accuracy (%) | Dataset | Classifier | Accuracy (%) |
| Weather | Random forest | 99.3 | Garage door | Voting classifier | 99.7 | | Voting classifier | 99 | | Random forest | 99.3 | | ANN | 87.60 | | ANN | 89.80 | | 1D CNN | 86.85 | | 1D CNN | 83.35 |
| Thermostat | Voting classifier | 99.7 | Motion light | Random forest | 97.73 | | Random forest | 99 | | Voting classifier | 96.95 | | ANN | 66.32 | | ANN | 85.3 | | 1D CNN | 66.63 | | 1D CNN | 79.23 |
| GPS tracker | Voting classifier | 99.7 | Modbus | Voting classifier | 99.7 | | Random forest | 99.5 | | Random forest | 99.3 | | ANN | 80.65 | | ANN | 67.03 | | 1D CNN | 86.10 | | 1D CNN | 67.03 |
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