Differential evolution detection models for SMS spam

With the growth of mobile phones, short message service (SMS) became an essential text communication service. However, low cost and ease use SMS led to increase in Spam. In this paper, characteristics spam has studied a set features introduced get rid spam. addition, problem detection was addressed as clustering analysis that requires metaheuristic algorithm find structures. Three differential evolution variants viz DE/rand/1, jDE/rand/1, jDE/best/1, are adopted for solving problem. Experimental results illustrate jDE/best/1 produces best over other terms accuracy, false-positive rate false-negative rate. Moreover, it surpasses baseline methods.