CNN-GWO-voting & hybrid: ensemble learning inspired intrusion detection approaches for cyber-physical systems

The second approach introduces a hybrid comprehensive ensemble classifier for binary classification, utilizing logistic regression, naïve bayes, SVM, k-nearest neighbour, and multilayer perceptron as base classifiers, with ensemble technique such as voting, stacking, bagging, and boosting.