Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders

Table 12

Evaluation results on the different lengths of input vectors.

Length (bytes)	Accuracy (%)	Run time (minutes)	Parameter setting
200	98.40	19.46	filter_dilation = , filter_shape = , full_units = 120.
400	98.43	37.90	filter_dilation = , filter_shape = , full_units = 220.
500	97.93	13.87	filter_dilation = , filter_shape = , full_units = 260.
600	97.99	19.08	filter_dilation = , filter_shape = , full_units = 300.
800	97.91	16.38	filter_dilation = , filter_shape = , full_units = 440.
1000	98.62	8.77	filter_dilation = , filter_shape = , full_units = 640.
1500	98.28	52.93	filter_dilation = , filter_shape = , full_units = 840.