Improving the phishing website detection using empirical analysis of Function Tree and its variants-Reference-Cited by-同舟云学术

Improving the phishing website detection using empirical analysis of Function Tree and its variants

Published:2021-07 Issue:7 Volume:7 Page:e07437
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Balogun Abdullateef O.^ORCID,Adewole Kayode S.,Raheem Muiz O.^ORCID,Akande Oluwatobi N.^ORCID,Usman-Hamza Fatima E.,Mabayoje Modinat A.,Akintola Abimbola G.,Asaju-Gbolagade Ayisat W.,Jimoh Muhammed K.,Jimoh Rasheed G.^ORCID,Adeyemo Victor E.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference62 articles.

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3. Ensemble and deep-learning methods for two-class and multi-attack anomaly intrusion detection: an empirical study;Adeyemo;Int. J. Adv. Comput. Sci. Appl.,2019

4. Phishing attack detection based on random forest with wrapper feature selection method;Abdulrahaman;Int. J. Infor. Proc. Commun. (IJIPC),2019

5. Preventive techniques of phishing attacks in networks;Adil,2020

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