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eNauka >  Results >  Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm
Title: Tackling smart city security: deep learning approach utilizing feature selection and two-level cooperative framework optimized by adapted metaheuristics algorithm
Authors: K. Kumpf; M. Cajic; V. Zeljkovic; M. Mravik  ; M. Zivkovic  ; J. Mani; V. Simic  ; N. Bacanin  
Issue Date: 2025
Publication: International Journal of Information Security
ISSN: 1615-5270 International Journal of Information Security Search Idenfier
Type: Article
Collation: vol. 24 br. 6
DOI: 10.1007/s10207-025-01137-6
WoS-ID: 001590079200001
Scopus-ID: 2-s2.0-105018668181
URI: https://enauka.gov.rs/handle/123456789/1003642
https://link.springer.com/article/10.1007/s10207-025-01137-6
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11621
Project: Science Fund of the Republic of Serbia [7373, 7502]
M-category: 
21M21

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