A Modified Gray Wolf Optimizer-Based Negative Selection Algorithm for Network Anomaly Detection

Table 8

Experimental results of the MDGWO-NSA algorithm compared with other algorithms on the skin dataset.

Algorithm	DR (%)		FAR (%)		Dn		DTT (s)		Test (s)
	Mean	SD	Mean	SD	Mean	SD	Mean	SD	Mean	SD
RNSA	85.80	3.73	0.93	0.30	2464.3	822.98	1.110	0.64	20.30	3.29
V-detector	87.20	2.20	3.04	0.69	375.9	106.20	0.093	0.02	2.72	0.91
GF-RNSA	93.25	2.13	10.20	0.59	41950.0	1480.40	2.097	0.21	24.3	0.50
BIORV-NSA	97.32	0.00	5.88	0.00	1000.0	0.00	6.782	0.12	13.52	1.21
HD-NSA	97.90	0.43	4.17	0.54	240.6	8.95	0.072	0.02	1.06	0.06
MDGWO-NSA	98.30	0.54	3.22	0.36	251.9	11.40	0.087	0.03	1.38	0.03