HYBRID-CNN: An Efficient Scheme for Abnormal Flow Detection in the SDN-Based Smart Grid

Table 5

The comparison of the computational complexity of the proposed and state-of-the-art methods.

Method	Trainable parameters	Training time (s)	Testing time (s)
LSTM	0.1391	402.58	1.77
CNN-LSTM	0.1404	526.31	8.99
Proposed	0.0951	271.26	0.75