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The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm
| Title: | The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm | Authors: | N. AlHosni; L. Jovanovic; M. Antonijevic   ; M. Bukumira; M. Zivkovic ; I. Strumberger ; J. P. Mani; N. Bacanin |
Issue Date: | 2022 | Publication: | LNNS Lecture Notes in Networks and Systems: ICIPCN 2022: International Conference on Image Processing and Capsule Networks, volume 514 | Publisher: | Springer, Cham | Type: | Book parts | Collation: | 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-category: | Mp. category will be shown later |
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