Research Article

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

Table 6

10-fold accuracy, precision, recall, and F1-score for LSTM, LSTM-GRU, and LSTM- CNN.

FAccuracy (%)Precision (%)Recall (%)F1-score (%)
++!!++!!++!!++!!

199.6899.9999.8999.8199.0999.8799.7999.9799.5999.5899.6099.91
297.4499.8799.9397.2399.9899.7899.6799.0999.9799.5399.7299.82
399.5399.8799.9699.7999.9999.9099.6399.0799.8399.6499.7499.85
499.6499.3499.9500.7499.8299.8199.8199.3099.8199.5699.6699.82
599.5699.0299.9999.7799.8599.7599.6999.2399.7999.8799.7299.85
699.6799.3299.9299.7299.8299.8199.8399.8799.7399.7899.0999.70
799.2799.5999.9799.5399.8599.0999.5799.7699.9799.8799.9799.78
899.6599.9399.9599.7399.2399.9799.8399.5799.9499.7899.9999.64
999.2999.8899.9499.3199.7399.9999.8099.6799.9299.8799.8199.77
1098.8999.0099.9399.8699.7299.8899.7799.8799.9899.2799.8399.70

Used signs ++ (LSTM), (LSTM-GRU), !! (LSTM-CNN), K (constant-number), F (folds).