Table 2.

The parameters of HyDL-IDS.

Parameter	Value
Conv1 layer	Filters: 8, Kernel size: 3, Activation: “relu”
	Filters: 16, Kernel size: 5, Activation: “relu”
	Filters: 32, Kernel size: 5, Activation: “relu”
	Filters: 64, Kernel size: 3, Activation: “relu”
Max pooling layer	Pool_size: 2, Stride: 2
Dropout layer	Rate: 0.2
LSTM layer	Units: 128
dense layer	Units: 128, Activation: “relu” or “softmax"
Loss function	Categorical Cross-entropy
Optimizer	Adam
learning rate	0.01
Epoch	20
Batch size	256