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eNauka >  Results >  Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning
Title: Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning
Authors: L. Jovanovic ; D. Jovanovic; M. Antonijevic  ; Nikolic, Boško  ; N. Bacanin  ; M. Zivkovic  ; I. Strumberger 
Issue Date: 2023
Publication: Journal of Web Engineering
ISSN: 1540-9589 Journal of Web Engineering Search Idenfier
Type: Article
Collation: vol. 22 br. 3 str. 543-574
DOI: 10.13052/jwe1540-9589.2237
WoS-ID: 001041002500007
Scopus-ID: 2-s2.0-85167715224
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9522
http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/709163
https://enauka.gov.rs/handle/123456789/767399
URL: https://journals.riverpublishers.com/index.php/JWE/article/view/18475
M-category: 
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