EURASIP Journal on Wireless Communications and Networking

Table 2 Class distribution in full data-set

From: Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set

Class	Percentage
Normal	87.35
Exploits	1.75
Reconnaissance	0.55
DoS	0.64
Generic	8.48
Shellcode	0.06
Fuzzers	0.95
Analysis	0.11
Backdoor	0.10
Worms	0.01

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