Browsing by Author "Amna Anwar (S2021052006) Hina Jabbar (S2021052011)"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    PHISHING WEBSITES DEDECTION USING MACHINE-LEARNING CLASSIFIERS
    (UMT,LAHORE, 2023) Amna Anwar (S2021052006) Hina Jabbar (S2021052011)
    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