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

Journal of Electrical Systems and Information Technology

Table 2 Performance evaluation using the PhishTank dataset

Algorithm	Accuracy(%)	Precision	Recall	F1-score	Loss
LR [25]	80.1	0.79	0.80	0.81	0.5850
DT [10]	82.5	0.82	0.81	0.83	0.5434
SVM [1]	80.7	0.78	0.83	0.80	0.5874
CNN [3]	89.3	0.88	0.90	0.88	0.1550
LSTM [26]	92.6	0.93	0.92	0.93	0.0995
Proposed hybrid model CNN-LSTM	96.8	0.96	0.97	0.97	0.0413