PHISHING WEBSITES DEDECTION USING MACHINE-LEARNING CLASSIFIERS
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
UMT,LAHORE
Abstract
In this digital era, our lives highly depend on the internet and worldwide technology. Widely
usage of the technology and platform of communication makes our lives better and easy, but on the
other side it carried out some security issues and cruel activities, phishing is one activity of these cruel
activities. It is a type of cybercrime, which has purpose to steal the personal information of the
computer user, and the enterprises, which carried out fake websites that are the copy of the original
websites. The attackers used the personal information like account id, passwords, username the purpose
of some fraudulent activities against the user of computer. Many techniques are used to employ the
phishing attacks. Mostly used instant messaging, e-mails, text massages, and other digital
communication ways. In these days security researchers have most important concern to the phishing
attacks because it increases day by day. Various ways have been used to deal with the problem of
phishing attacks and detect the fake websites to the legitimate websites. The outmoded techniques and
updated tools are used for classifying the for classifying the phishing websites by using signature based
method, but this method not capable to detect the zero-hour phishing attacks