Design and Implementation of an Anomaly Network Traffic Detection Model Integrating Temporal and Spatial Features

Algorithm 4

Get the final data that can be fed into the neural network for training.

	Input: data [], size, length
	Output: the final data used for neural network training
	For i = 0 to data.length do
	If data[i] ≥ size
	Count = 1
	For j = 0 to size do
	For k = 0 to length:
	If k greater than or equal to data[i][j].length
	Write data to 0 into the .csv file
	Count +1
	Else:
	Write data[i][j] to the .csv file
	END if
	END for
	END for
	Else:
	Count = 1
	END for