Review of Smishing Detection Via Machine Learning

Smishing is a cybercriminal attack targeting mobile Short Message Service (SMS) devices that contains malicious link, phone number, or email. The attacker intends to use this message steal the victim's sensitive information, such as passwords, bank account details, and credit cards. One method of combating smishing raise awareness educate users about various tactics used by SMS phishers. But even so, has been criticized for becoming inefficient because are continually evolving. A more promising anti-smishing machine learning. This paper introduces number learning algorithms can be detecting smishing. Furthermore, differences similarities among them well pros cons each presented support future research into effective solutions securing from cyber criminals.