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

Autor: Balogun AO; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Adewole KS; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Raheem MO; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Akande ON; Department of Computer Science, Landmark University, Omu-Aran, Kwara State, Nigeria., Usman-Hamza FE; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Mabayoje MA; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Akintola AG; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Asaju-Gbolagade AW; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Jimoh MK; Department of Education Technology, University of Ilorin, Ilorin, Nigeria., Jimoh RG; Department of Computer Science, University of Ilorin, Ilorin, Nigeria., Adeyemo VE; School of Built Environment, Engineering and Computing, Leeds Beckett University, Headingley Campus, Leeds, LS6 3QS, United Kingdom.

Publikováno v: Heliyon [Heliyon] 2021 Jun 29; Vol. 7 (7), pp. e07437. Date of Electronic Publication: 2021 Jun 29 (Print Publication: 2021).