Phishing Classification Models an Empirical Study of Induction Factors for Effective Classification

recently, researchers have devoted prominent machine learning-based anti-phishing models to survive a supreme cyber-security versus phishing evolution on the cyberspace. Yet, such models remain incompetent to detect new phish in a real-time application. In this concern, this paper advocates an empir...

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Bibliographic Details

Published in:	2017 Second Al Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC MITCSA) pp. 125 - 129
Main Authors:	Zuhair, Hiba, Selamat, Ali
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2017
Subjects:	active learning adaptive model big data Computational modeling Data models Feature extraction hybrid machine learning algorithm phish web page Phishing Testing Web pages
Online Access:	Get full text
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