Network Intrusion Detection Method Combining CNN and BiLSTM in Cloud Computing Environment

Table 2

Comparison of BiLSTM feature classification performance of KDD CUP 99 data set.

Classifier	AC (%)	FPR (%)	Time (s)
KNN	78.1 (±0.0045)	23.4 (±0.0056)	32
J48	59.2 (±0.0055)	44.8 (±0.0155)	10
Deep forest	78.4 (±0.0100)	20.6 (±0.0010)	23
Naive Bayes	72.9 (±0.0050)	28.9 (±0.0150)	19
Random forest	85.2 (±0.0040)	15.2 (±0.0060)	28
The proposed method	95.4 (±0.0030)	5.4 (±0.0010)	8