[Retracted] Software Defined Network Enabled Fog-to-Things Hybrid Deep Learning Driven Cyber Threat Detection System

Table 7

Proposed framework comparison with existing state-of-the-art solutions for cyber threats detection.

Frameworks	Algorithm	Dataset	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	Time
Proposed	LSTM-CNN	CIDDS2017	99.92	99.85	99.85	99.91	29
[7]	LSTM	AWID	98.22	98.9	98.5	98.38	—
[8]	RNN, CNN	MAWI	99.56	99.11	99.01	99.21	—
[9]	CNN-LSTM	CIDDS2017	98.88	98.41	99.8	99.1	549
[10]	RNN	NSL-KDD	92.18	90.23	90.8	92.29	—
[11]	MLP	IoTID2020	84.4	78	91	84	—
	XGBoost	—	98	91	63	75	—