A DDoS-Attack Detection Method Oriented to the Blockchain Network Layer

Table 2

Comparative results of model detection under different data flow samples on the blockchain network layer.

Sample number	CMCNN model				Baek scheme				Essaid scheme
	Recall	ACC	F1-score	Test time (s)	Recall	ACC	F1-score	Test time (s)	Recall	ACC	F1-score	Test time (s)
1000	0.8592	0.855	0.8961	6.4	0.8211	0.7925	0.8566	3.7	0.8712	0.8415	0.8672	4.3
5000	0.8951	0.8956	0.927	24.5	0.8427	0.8324	0.8824	17.5	0.9006	0.8712	0.8953	16.4
10000	0.9211	0.9086	0.9387	44.5	0.8512	0.8499	0.9004	32.8	0.9095	0.8716	0.9001	34.7
15000	0.952	0.9342	0.9562	85.4	0.8977	0.8873	0.9253	74.6	0.9128	0.8921	0.9172	63.4
20000	0.9604	0.9481	0.9662	146.2	0.9289	0.9175	0.9442	161.2	0.9185	0.8981	0.9217	149.2
25000	0.9709	0.958	0.973	220.7	0.9351	0.9215	0.9486	237.5	0.9287	0.92	0.944	214.4
30000	0.9811	0.9716	0.9827	280.6	0.9568	0.9327	0.8566	322	0.9491	0.9264	0.9501	330.7