Detection process and accuracy of Intrusion Detection (ID) using machine learning

Enhancing detection process and accuracy of Intrusion Detection (ID) using three machine-learning algorithms namely, BayesNet algorithm, Multi-Layer Perceptron (MLP), and Support Vector Machine (SVM). This was achieved by using a set of feature selection approaches Infogain (IG), ReleifF (RF), and Genetic Search (GS). This resulted in enhancing the classification performance with the GS accuracy rate is 99.9