Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms

Table 2

Parameters of UNSW-NB15.

Number	Class	Size	Distribution (%)
1	Normal	56,000	31.94
2	Generic	40,000	22.81
3	Exploits	33,393	19.04
4	Fuzzers	18,184	10.37
5	DoS	12,264	6.99
6	Reconnaissance	10,491	5.98
7	Analysis	2,000	1.14
8	Backdoor	1,746	1
9	Shellcode	1,133	0.65
10	Worms	130	0.07
	Totals	175,341	100