A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features

Table 11

ANOVA results for accuracy rate of classifiers.

Source of variation	SS	df	MS		value	-crit.
	SFSM method
Between groups	781.5143	5	156.3029	31.89498	<0.05	2.772853
Within groups	88.20985	18	4.900547
Total	869.7241	23
	RFSM method
Between groups	879.4307	5	175.8861	48.54728	<0.05	2.772853
Within groups	65.21375	18	3.622986
Total	944.6444	23

SS: sum of squared deviations about mean; df: degrees of freedom; MS: variance.