Research Article
Industrial Control Intrusion Detection Approach Based on Multiclassification GoogLeNet-LSTM Model
Table 3
Results of control tests.
| Parameters | ACC (%) | FPR (%) | MR (%) |
| Time step = 20, learning rate = 0.01 | 97.97 | 1.33 | 4.56 | Time step = 20, learning rate = 0.05 | 97.15 | 2.87 | 2.77 | Time step = 20, learning rate = 0.10 | 97.13 | 2.64 | 3.72 | Time step = 50, learning rate = 0.01 | 97.87 | 1.45 | 4.60 | Time step = 50, learning rate = 0.05 | 97.88 | 2.13 | 2.08 | Time step = 50, learning rate = 0.10 | 97.56 | 2.37 | 2.69 | Time step = 80, learning rate = 0.01 | 97.03 | 2.68 | 3.98 | Time step = 80, learning rate = 0.05 | 97.01 | 3.12 | 2.52 | Time step = 80, learning rate = 0.10 | 97.11 | 2.88 | 2.92 |
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