A hybrid deep learning technique for spoofing website URL detection in real-time applications

Journal of Electrical Systems and Information Technology

Table 1 Performance evaluation with UCL spoofing websites dataset

Algorithm	Accuracy (%)	Precision	Recall	F1-score	Loss
LR [25]	83.1	0.83	0.83	0.84	0.5650
DT [10]	83.8	0.85	0.83	0.83	0.5534
SVM [1]	82.7	0.81	0.83	0.82	0.5774
CNN [3]	90.4	0.90	0.92	0.93	0.0950
LSTM [26]	94.6	0.95	0.94	0.95	0.0695
Proposed hybrid model CNN-LSTM	98.9	0.97	0.98	0.99	0.0213