Research Article
Anomaly Detection in Smart Metering Infrastructure with the Use of Time Series Analysis
Table 2
DR [%] and FP [%] for anomalies/attacks performed on AMI network with Scenario
1.
| Feature | Holt | Winters | Brown | Description | DR [%] | FP [%] | DR [%] | FP [%] | DR [%] | FP [%] |
| NF1 | 92.40 | 8.80 | 90.20 | 9.80 | 88.10 | 10.40 | Significant impact on NF1 in Scenario 1 | NF2 | 96.00 | 5.60 | 94.10 | 7.50 | 90.20 | 9.80 | Significant impact on NF2 in Scenario 1 | NF3 | 91.00 | 9.40 | 88.40 | 11.30 | 86.30 | 12.70 | — | NF4 | 81.40 | 9.20 | 89.10 | 11.10 | 86.20 | 12.60 | — | NF5 | 72.20 | 10.20 | 70.10 | 12.60 | 68.20 | 12.80 | — |
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