Table 5 Overall comparative analysis.
From: Hybrid quantum enhanced federated learning for cyber attack detection
Algorithms | Precision | Recall | F1-Score | Specificity | MCC | Accuracy |
|---|---|---|---|---|---|---|
Random forest | 0.945 | 0.955 | 0.950 | 0.945 | 0.900 | 0.950 |
CNN | 0.958 | 0.962 | 0.960 | 0.958 | 0.920 | 0.960 |
LSTM | 0.963 | 0.967 | 0.965 | 0.963 | 0.930 | 0.965 |
RNN | 0.952 | 0.958 | 0.955 | 0.953 | 0.910 | 0.955 |
Federated learning | 0.968 | 0.972 | 0.970 | 0.969 | 0.940 | 0.970 |
SSTDL | 0.970 | 0.973 | 0.971 | 0.969 | 0.940 | 0.977 |
STGNN | 0.969 | 0.971 | 0.970 | 0.968 | 0.938 | 0.976 |
Proposed HFLN | 0.982 | 0.985 | 0.983 | 0.982 | 0.966 | 0.983 |
