Edge-Detect-FGRNN

Reported on 3 benchmarks across 1 task · 1 paper

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

Natural Language Processing3 results

Intrusion DetectiononUNSW-NB15
Accuracy· 2021-02-03
99.5
best: 99.6 (Edge-Detect-FRNN)
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network arXiv:2102.01873
Intrusion DetectiononUNSW-NB15
Precision· 2021-02-03
99.5
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network arXiv:2102.01873
Intrusion DetectiononUNSW-NB15
Recall· 2021-02-03
99.55
best: 99.75 (Edge-Detect-FRNN)
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network arXiv:2102.01873