Journal of Big Data

Table 4 Distribution of UNSW-NB 15 data

From: Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

Attack type	UNSW-NB 15-full feature set			UNSW-NB 15-reduced feature set
Attack type	Training	Validation	Testing	Training	Validation	Testing
N = Normal	66,211	14,893	14,893	46,632	14,893	14,893
F = Fuzzers	17,853	4748	4748	12,992	4748	4748
A = Analysis	1985	513	513	1423	513	513
B = Backdoors	1740	458	458	1252	458	458
D = DoS	11,558	2564	2564	8124	2564	2564
E = Exploits	31,279	7588	7588	21,928	7588	7588
G = Generic	42,321	8942	8942	29,058	8942	8942
R = Reconnaissance	9811	2387	2387	7463	2387	2387
SC = Shell Code	1103	238	238	810	238	238
W = Worms	133	37	37	96	37	37
Total	183,994	42,368	42,368	129,778	42,368	42,368

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