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

Table 4

Performance comparison of the proposed and state-of-the-art methods.

Reference	Method	Proportion = 80%			Proportion = 70%			Proportion = 60%
		Acc	DR	FPR	Acc	DR	FPR	Acc	DR	FPR
Ashraf et al. [17]	Naive Bayes	0.7663	0.8514	0.3841	0.7669	0.8611	0.3999	0.7655	0.8512	0.3883
Reddy et al. [19]	SVM	0.7594	0.6895	0.1170	0.7257	0.7806	0.3714	0.7346	0.7874	0.3591
Xin et al. [22]	LSTM	0.8916	0.9843	0.2724	0.8897	0.9840	0.2775	0.8894	0.9835	0.2778
Wang et al. [25]	CNN-LSTM	0.8995	0.9612	0.2095	0.8965	0.9460	0.1910	0.8955	0.9571	0.2138
Proposed method	HYBRID-CNN	0.9564	0.9856	0.0442	0.9408	0.9382	0.0544	0.9386	0.9493	0.0803