Research Article
A Novel Way to Generate Adversarial Network Traffic Samples against Network Traffic Classification
Table 6
Network structure and parameters of Vgg-16 CNN.
| Name | Parameters |
| Input layer | | Convolution layer | Convolution core | | Output | | Batch normalization layer | Output | | Convolution layer | Convolution core | | Output | | Batch normalization layer | Output | | Max pooling layer | Sampling window | | Output | | Convolution layer | Convolution core | | Output | | Batch normalization layer | Output | | Convolution layer | Convolution core | | Output | | Batch normalization layer | Output | | Max pooling layer | Sampling window | | Output | | Convolution layer | Convolution core | | Output | | Batch normalization layer | Output | | Flatten layer | Output | | Full connection layer dense 1 | Output | | Full connection layer dense 2 | Output | |
|
|