CNN-BiLSTM

Reported on 3 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Intrusion DetectiononCICIDS2017
Avg F1· uses extra data
0.908
best: 0.9875 (OC-SVM / RF)
Intrusion DetectiononCICIDS2017
Precision· uses extra data
95.9
best: 99.26 (OC-SVM / RF)
Intrusion DetectiononCICIDS2017
Recall· uses extra data
86.2
best: 99.7 (DBN)