Research Article
Thwarting Nonintrusive Occupancy Detection Attacks from Smart Meters
Table 1
Performance of threshold-based attacks on raw smart meter data compared with 6 KWh battery-modified data.
| Attack | Data type | TP | TN | FP | FN | TP + FP |
| Threshold | Original | 59.73% | 23.80% | 1.58% | 14.89% | 61.31% | BPOD | 78.73% | 1.90% | 18.22% | 0.49% | 96.95% | SVM | Original | 67.77% | 10.47% | 12.5% | 9.18% | 80.35% | BPOD | 71.54% | 4.65% | 18.17% | 5.64% | 89.71% | KNN | Original | 61.17% | 17.19% | 7.64% | 14.0% | 68.81% | BPOD | 69.28% | 4.89% | 18.94% | 6.89% | 88.22% | HMM | Original | 57.03% | 21.12% | 2.1% | 19.76% | 59.13% | BPOD | 76.78% | 7.7% | 14.51% | 5.17% | 91.29% |
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