Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models

Table 2

Statistical analysis of WSN-DS dataset.

Feature No	Feature name	Count	Mean	std	min	25%	50%	75%	Max
1	Time	374661	1064.749	899.6462	50	353	803	1503	3600
2	Is_CH	374661	0.115766	0.319945	0	0	0	0	1
3	who_CH	374661	274980.4	389911.2	101000	107096	116072	215073	3402100
4	Dist_To_CH	374661	22.59938	21.95579	0	4.73544	18.37261	33.776	214.2746
5	ADV_S	374661	0.267698	2.061148	0	0	0	0	97
6	ADV_R	374661	6.940562	7.044319	0	3	5	7	117
7	JOIN_S	374661	0.779905	0.414311	0	1	1	1	1
8	JOIN_R	374661	0.737493	4.691498	0	0	0	0	124
9	SCH_S	374661	0.288984	2.754746	0	0	0	0	99
10	SCH_R	374661	0.747452	0.434475	0	0	1	1	1
11	Rank	374661	9.687104	14.6819	0	1	3	13	99
12	DATA_S	374661	44.85792	42.57446	0	13	35	62	241
13	DATA_R	374661	73.89004	230.2463	0	0	0	0	1496
14	Data_Sent_To_BS	374661	4.569448	19.67916	0	0	0	0	241
15	dist_CH_To_BS	374661	22.56274	50.2616	0	0	0	0	201.9349
16	send_code	374661	2.497957	2.407337	0	1	2	4	15
17	Consumed energy	374661	0.305661	0.669462	0	0.05615	0.09797	0.21776	45.09394
18	Attack type	374661	2.880615	0.564958	0	3	3	3	4