Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction

Algorithm 2

Parallel automatic feature extraction algorithm.

	Input:
	Preprocessed Dataset
	Hyperparameter = {Minbatch, LR, Epoch, Bias}
	Output:
	Feature Set
(1)	for each one in do
(2)	for epoch in (1, Epoch) do
(3)	for each batch of Minbatch data do
(4)	for in batch do
(5)	for each in do
(6)	Calculate the output of the jth SAE network
(7)	Process Sigmoid
(8)	Compute the cost between output and input
(9)	Update the weight and bias
(10)	end for
(11)	end for
(12)	end for
(13)	end for
(14)	Connect the exported feature