Detecting Phishing Website Using Machine Learning

被引:0
|
作者
Alkawaz, Mohammed Hazim [1 ]
Steven, Stephanie Joanne [2 ]
Hajamydeen, Asif Iqbal [1 ]
机构
[1] Management & Sci Univ, Fac Informat Sci & Engn, Shah Alam, Selangor, Malaysia
[2] Management & Sci Univ, Sch Grad Studies, Shah Alam, Selangor, Malaysia
关键词
Blacklisted; phishing; Agile Unified Process (AUP); alert; pop-up notification; Email notification; Machine Learning;
D O I
10.1109/cspa48992.2020.9068728
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Trying to gather personal information through deceptive ways is becoming more common nowadays. In order to assist the user to be aware of the access to such websites, the implemented system notifies the user through email and also pop-up, when trying to access a phishing site. This paper proposes an approach of phishing detection system to detect blacklisted URL also known as phishing websites, so that individual can be alerted while browsing or accessing a particular website. Therefore, it can be utilized for identification and authentication and become a legitimate tool to prevent an individual from getting tricked.
引用
收藏
页码:111 / 114
页数:4
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