SmishSMS- The Latest Detection of SMS Phishing Trends

Abstract

Banking frauds is an emergency issue of concern in today’s busy schedule of the people around the world which has left many banking organizations bankrupt, and also has led many customers to a deadly torment. It is a cyber-security attack, where each day the fraudsters are inventing newer techniques which uses Short Message Service (SMS) to steal the credentials of mobile users. This paper has recklessly examined the e-banking frauds, the different methods for detection of e-banking frauds, control of banking frauds and the challenges associated with the detection and control of e-banking frauds. This paper focuses on Comparative analysis with different machine-learning techniques and the methods of the features extracted and classified. The paper also shows the further scope of study to boom the efficiency of the system.