Table 2 The average performance and comparison (in percentage) of EPASAD, PASAD, and other baseline frameworks on the C-town dataset
From: EPASAD: ellipsoid decision boundary based Process-Aware Stealthy Attack Detector
Methods | Precision | Recall | F1-score | False Alarm |
|---|---|---|---|---|
EPASAD | 71.36 | 64.29 | 67.64 | 3.70 |
PASAD (Aoudi et al. 2018) | 64.36 | 54.84 | 59.22 | 4.36 |
AR (Hadžiosmanović et al. 2014) | 32.37 | 53.99 | 40.47 | 3.96 |
MPASAD (Aoudi and Almgren 2020) | 57.17 | 43.86 | 49.64 | 10.50 |
RPCA (Dutta et al. 2021) | 24.36 | 26.01 | 25.16 | 9.94 |
LSTM (Goh et al. 2017) | 54.39 | 61.36 | 57.67 | 4.92 |
AE (Taormina and Galelli 2018) | 54.95 | 58.05 | 56.46 | 5.70 |