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

Table 6

Experimental parameters of each comparison algorithm.

Algorithm	Parameter	Value
GF-RNSA, V-detector, RNSA, HD-NSA, BIORV-NSA, MDGWO-NSA	Self-radius	0.01
GF-RNSA, V-detector, RNSA	Expected coverage	99%
RNSA	Fixed detector radius	0.1
BIORV-NSA	Self-edge tolerance	0.8
BIORV-NSA	Antibody tolerance	1.2
GF-RNSA	Density threshold	0.1
GF-RNSA	Minimum threshold	0.0625
HD-NSA	Division threshold	0.5
MDGWO-NSA	Grid radius	0.05
MDGWO-NSA	Density threshold	0.2