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

Table 1

Some research results of deep learning in the field of anomaly network traffic detection.

Method	Datasets	Year	Reference
PCCN (parallel cross convolutional neural network)	CICIDS 2017	2019	[29]
D-PACK	USTC-TFC2016	2020	[30]
HAST-NAD (CNN + RNN)	ISCX2012	2020	[32]
C-LSTM	ISCX2012	2018	[33]
Shallow, deep ANN	UNSW-NB15	2020	[34]
Conv-LSTM	ISCX-IDS 2012	2019	[35]
A scalable network intrusion detection system	KDDCUP’99 CICIDS 2017	2021	[36]