Comparative analysis of machine learning classifiers for phishing detection

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Comparative analysis of machine learning classifiers for phishing detection

In recent years, communication over the Internet has become the most effective media for leveraging social interactions during the COVID-19 pandemic. Nevertheless, the rapid increase use of digital platforms has led to a significant growth of Phishing Attacks. Phishing attacks are one of the most co...

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Bibliographic Details
Main Authors:	Mohd Faizal, Ab Razak, Mohd Izham, Jaya, Ernawan, Ferda, Ahmad Firdaus, Zainal Abidin, Nugroho, Fajar Agung
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/39337/ http://umpir.ump.edu.my/id/eprint/39337/1/Comparative%20analysis%20of%20machine%20learning%20classifiers%20for%20phishing%20detection.pdf http://umpir.ump.edu.my/id/eprint/39337/2/Comparative%20analysis%20of%20machine%20learning%20classifiers%20for%20phishing%20detection_ABS.pdf

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