Research Article
Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing
Table 3
DR [%] and FP [%] for anomalies/attacks performed on the SLCN in Scenario
1.
| Network feature | DR [%] | FP [%] | Description |
| DLN1 | 90.80 | 4.80 | — | DLN2 | 98.00 | 3.60 | The biggest impact on DLN2 in Scenario 1 | DLN3 | 97.00 | 3.20 | The biggest impact on DLN3 in Scenario 1 | DLN4 | 81.40 | 5.20 | — | DLN5 | 75.40 | 7.40 | — |
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