A Novel Approach for Classifying MANETs Attacks with a Neutrosophic Intelligent System based on Genetic Algorithm

Table 2

Performance of proposed neutrosophic genetic algorithm vs. existing algorithms.

Algorithms	Accuracy ()	FAR ()
C4.5	93.23	1.65
SVM	87.18	3.2
C4.5+ACO	95.06	0.87
SVM+ACO	90.82	2.42
C4.5+PSO	95.37	0.72
SVM+PSO	91.57	1.94
EDADT	98.12	0.18
proposed neutrosophic genetic algorithm	99.3608	0.089