CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network

Table 1

Summary of test results for different depth models.

Deep learning model	Reference	Dataset	Results
			Accuracy	DR	Far
DNN	[14]	KDD-99	—	99.00%	0.08%
	[15]	NSL-KDD	—	97.50%	3.50%
LSTM-RNN	[18]	KDD-99	83.00%	—	—
	[19]	KDD-99	—	98.88%	10.04%
	[20]	NSL-KDD	—	72.95%	3.44%
	[21]	ADFA	—	90.00%	16.00%
DBN	[24]	KDD-99	—	92.33%	0.76%
	[25]	NSL-KDD	97.50%	—	—
	[26]	NSL-KDD	—	91.80%	—
	[27]	KDD-99	—	97.90%	2.47%