Research Article

Industrial Control Intrusion Detection Approach Based on Multiclassification GoogLeNet-LSTM Model

Table 3

Results of control tests.

ParametersACC (%)FPR (%)MR (%)

Time step = 20, learning rate = 0.0197.971.334.56
Time step = 20, learning rate = 0.0597.152.872.77
Time step = 20, learning rate = 0.1097.132.643.72
Time step = 50, learning rate = 0.0197.871.454.60
Time step = 50, learning rate = 0.0597.882.132.08
Time step = 50, learning rate = 0.1097.562.372.69
Time step = 80, learning rate = 0.0197.032.683.98
Time step = 80, learning rate = 0.0597.013.122.52
Time step = 80, learning rate = 0.1097.112.882.92