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Machine learning pipelines for IoT botnet detection and behavior characterization in heavily imbalanced settings
| Title: | Machine learning pipelines for IoT botnet detection and behavior characterization in heavily imbalanced settings | Authors: | Ђ. Јовановић; P. Vuletić   |
Issue Date: | 2025 | Publication: | SIGNAL IMAGE AND VIDEO PROCESSING | ISSN: | 1863-1703 Signal, Image and Video Processing Search Idenfier |
Type: | Article | Collation: | vol. 19 br. 3 | DOI: | 10.1007/s11760-025-03813-5 | WoS-ID: | 001408178300001 | Scopus-ID: | 2-s2.0-85218121380 | URI: | https://link.springer.com/article/10.1007/s11760-025-03813-5?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20250128&utm_content=10.1007%2Fs11760-025-03813-5 http://researchrepository.mi.sanu.ac.rs/handle/123456789/5431 http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/709886 https://enauka.gov.rs/handle/123456789/965009 |
Project: | This research was partially financially supported by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia (Contract No. 451-03-68/2024-03/200103). | M-category: | 22M22 |
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