Additionally, NB algorithms were compared with advanced machine learning algorithms such as Logistic Regression, Random Forest, Linear Support Vector Classifier, and Multi-Layer Perceptron. The Multi-Layer Perceptron stood out with an accuracy rate of 98.31%, while the other algorithms ...
Nowadays, to improve accuracy of classifiers, it is recommended to use classifier fusion instead of single classifiers. This study proposes to use genetic algorithms for both feature selection and weight selection for classifier fusion in IDS. This proposed system called GA-NS-AB...