An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0.
Oumaima ChakirAbdeslam RehaimiYassine SadqiEl Arbi Abdellaoui AlaouiMoez KrichenGurjot Singh GabaAndrei V. GurtovPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- ensemble methods
- attack detection
- machine learning methods
- multistage
- prediction accuracy
- ensemble learning
- random forests
- decision trees
- benchmark datasets
- machine learning
- machine learning algorithms
- base classifiers
- intrusion detection system
- random forest
- bootstrap sampling
- base learners
- feature subset
- knn
- risk assessment
- cyber attacks
- svm classifier
- intrusion detection
- search space
- training data
- real world