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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Vydané v:	Expert systems with applications Ročník 117; s. 345 - 357
Hlavní autori:	Sahingoz, Ozgur Koray, Buber, Ebubekir, Demir, Onder, Diri, Banu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.03.2019 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
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