SmishSMS- The Latest Detection of SMS Phishing Trends

C.Meenakshi, Anisha Asirvatham, (2023) SmishSMS- The Latest Detection of SMS Phishing Trends. Tuijin Jishu/Journal of Propulsion Technology, 44 (4). pp. 796-806. ISSN 1001-4055

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Abstract

SmishSMS- The Latest Detection of SMS Phishing Trends Anisha Asirvatham, C.Meenakshi

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.
10 16 2023 796 806 10.52783/tjjpt.v44.i4.936 https://www.propulsiontechjournal.com/index.php/journal/article/view/936 https://www.propulsiontechjournal.com/index.php/journal/article/download/936/676 https://www.propulsiontechjournal.com/index.php/journal/article/download/936/676

Item Type: Article
Subjects: Computer Science Engineering > Machine Learning
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Last Modified: 11 May 2026 09:40
URI: https://ir.vistas.ac.in/id/eprint/14123

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