Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection

Table 6

The WPA2 per-class performance of the proposed method with and without attribute selection (approximated to three decimal digits).

Normal/attack	Count	With attribute selection				Without attribute selection
		Precision	Recall		AUC	Precision	Recall		AUC
Normal	6000	0.906	0.935	0.920	0.916	0.906	0.970	0.937	0.961
Fake AP	1000	0.998	0.952	0.974	0.973	0.985	0.945	0.965	0.969
Fake authentication	1000	0.734	0.483	0.582	0.713	0.934	0.448	0.605	0.694
Deauthentication	1000	0.984	0.967	0.975	0.981	0.981	0.978	0.980	0988
Syn flooding	1000	0.822	0.997	0.901	0.998	0.874	0.997	0.931	0.998