Phishing detection system using machine learning classifiers

The increasing development of the Internet, more and more applications are put into websites can be directly accessed through the network. This development has attracted an attacker with phishing websites to compromise computer systems. Several solutions have been proposed to detect a phishing attac...

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Bibliographic Details

Main Authors:	Nur Sholihah, Zaini, Deris, Stiawan, Mohd Faizal, Ab Razak, Ahmad Firdaus, Zainal Abidin, Wan Isni Sofiah, Wan Din, Shahreen, Kasim, Sutikno, Tole
Format:	Article
Language:	en
Published:	Institute of Advanced Engineering and Science 2020
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	https://umpir.ump.edu.my/id/eprint/46283/1/Phishing%20detection%20system%20using%20machine%20learning%20classifiers.pdf http://doi.org/10.11591/ijeecs.v17.i3.pp1165-1171 https://umpir.ump.edu.my/id/eprint/46283/
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