Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN)

Table 3

Confusion matrices of different numbers of node configuration scenarios for stress testing with computational times.

	TP rate	FP rate	Precision	Recall	F-measure	ROC area	Class
17 nodes	1	0	1	1	1	1	Cbr
	0.62	0	1	0.62	0.77	0.78	AODV
	0	0.05	0	0	0	—	AODV_MITM
Weighted average	0.95	0	1	0.95	0.97	0.971
18 nodes	1	0	1	1	1	1	Cbr
	0.62	0	1	0.615	0.76	0.781	AODV
	0	0.079	0	0	0	—	AODV_MITM
19 nodes	1	0	1	1	1	0.999	Cbr
	0.547	0	1	0.547	0.707	0.748	AODV
	0	0.148	0	0	0	—	AODV_MITM
Weighted average	0.852	0	1	0.852	0.904	0.916
20 nodes	1	0	1	1	1	1	Cbr
	0.658	0	1	0.658	0.794	0.794	AODV
	0	0.039	0	0	0	—	AODV_MITM
Weighted average	0.961	0	1	0.961	0.977	0.98