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The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm
| Naziv: | The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm | Autori: | N. AlHosni; L. Jovanovic; M. Antonijevic   ; M. Bukumira; M. Zivkovic ; I. Strumberger ; J. P. Mani; N. Bacanin |
Godina: | 2022 | Publikacija: | LNNS Lecture Notes in Networks and Systems: ICIPCN 2022: International Conference on Image Processing and Capsule Networks, volume 514 | Izdavač: | Springer, Cham | Tip rezultata: | Poglavlje u monografiji | Kolacija: | str. 213-228 | DOI: | 10.1007/978-3-031-12413-6_17 | WoS-ID: | 000892628600017 | Scopus-ID: | 2-s2.0-85135814849 | URI: | https://link.springer.com/chapter/10.1007/978-3-031-12413-6_17 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9086 https://enauka.gov.rs/handle/123456789/715174 |
URL: | https://link.springer.com/chapter/10.1007/978-3-031-12413-6_17 | M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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