Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security

Резултати

Naziv:	Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security
Autori:	N. Savanovic ; A. Bozovic; M. Antonijevic ; G. Kvaščev ; B. Nikolić ; K. Venkatachalam; N. Bacanin ; M. Zivkovic
Godina:	2025
Publikacija:	CONNECTION SCIENCE
ISSN:	0954-0091 Connection Science Pretraži identifikator
Tip rezultata:	Naučni članak
Kolacija:	vol. 37 br. 1 str. 1-26
DOI:	10.1080/09540091.2025.2549581
WoS-ID:	001574028700001
Scopus-ID:	2-s2.0-105016615324
URI:	http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/710043 http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/710154 https://www.tandfonline.com/doi/full/10.1080/09540091.2025.2549581 https://enauka.gov.rs/handle/123456789/1000341 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11591
URL:	https://www.tandfonline.com/doi/epdf/10.1080/09540091.2025.2549581?needAccess=true
Projekat:	Ministry of Education, Science and Technological Development of Republic of Serbia
M-kategorija:	21M21 - Vodeći međunarodni časopis kategorije M21

4
SCOPUS^TM

3
WEB OF SCIENCE^TM

Altmetric

Dimensions

Unpaywall