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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Veröffentlicht in:	2017 Second Al Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC MITCSA) S. 125 - 129
Hauptverfasser:	Zuhair, Hiba, Selamat, Ali
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2017
Schlagworte:	active learning adaptive model big data Computational modeling Data models Feature extraction hybrid machine learning algorithm phish web page Phishing Testing Web pages
Online-Zugang:	Volltext
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