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1 Ergebnisse
1
The Efficiency of Ensemble Machine Learning Models on Netwo..:
, In:
2023 IEEE International Conference on Contemporary Computing and Communications (InC4)
,
Varghese, Nisha
;
Vivek, R
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/InC457730.2023.10263037
RT T1
2023 IEEE International Conference on Contemporary Computing and Communications (InC4)
: T1
The Efficiency of Ensemble Machine Learning Models on Network Intrusion Detection using KDDCup 99 Dataset
UL https://suche.suub.uni-bremen.de/peid=ieee-10263037&Exemplar=1&LAN=DE A1 Varghese, Nisha A1 Vivek, R YR 2023 K1 Support vector machines K1 Radio frequency K1 Training K1 Analytical models K1 Computational modeling K1 Network intrusion detection K1 Transformers K1 Network Intrusion Detection System (NIDS) K1 Naïve Bayes (NB) K1 Logistic Regression (LR) K1 Decision Tree (DT) K1 Random Forest (RF) K1 Gradient Boosting (GB) K1 Support Vector Machine (SVM) K1 Artificial Neural Network(ANN) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/InC457730.2023.10263037 DO https://doi.org/10.1109/InC457730.2023.10263037 SF ELIB - SuUB Bremen
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