Machine learning based phishing detection from URLs

•Use of 7 different classification algorithms and NLP based features.•A Big URL Data Set is produced and shared (36,400 legitimate and 37,175 phishing).•Real-time and language-independent classification algorithms.•Feature-rich classifiers with Word Vectors, NLP-based and Hybrid features.•The propos...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 117; pp. 345 - 357
Main Authors:	Sahingoz, Ozgur Koray, Buber, Ebubekir, Demir, Onder, Diri, Banu
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.03.2019 Elsevier BV
Subjects:	Accuracy Algorithms Artificial intelligence Classification Classification algorithms Cyber attack detection Cyber security Cybersecurity Internet Machine learning Natural language processing Phishing Phishing attack Privacy Real time Semantics Software Software reliability Websites Phishing attack Classification algorithms Cyber attack detection Cyber security Machine learning
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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