Research Article
Machine Learning Methods to Detect Voltage Glitch Attacks on IoT/IIoT Infrastructures
Table 1
Performance of the proposed method.
| Time slots | F-1 score (average) | Precision (average) | Recall (average) | Accuracy (average) |
| T1 | 81.00 | 80.90 | 80.90 | 80.90 | T2 | 83.40 | 84.00 | 84.00 | 83.80 | T3 | 88.80 | 88.90 | 88.90 | 88.80 | T4 | 82.60 | 82.90 | 82.80 | 82.70 | T5 | 89.90 | 88.90 | 89.00 | 89.00 | T6 | 86.80 | 86.90 | 87.00 | 86.90 | T7 | 90.20 | 90.30 | 90.30 | 90.30 | T8 | 88.00 | 88.20 | 88.20 | 88.00 | T9 | 89.10 | 89.10 | 89.00 | 89.20 | T10 | 90.70 | 90.70 | 90.70 | 90.70 | T11 | 83.90 | 83.90 | 83.80 | 83.90 | T12 | 89.70 | 89.60 | 89.60 | 89.80 | Average | 87.00 | 87.00 | 87.00 | 87.00 |
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