Classifiers Comparison For Attack Detection in Computer Networks
Klismann Raphael Santos, Iago Richard Rodrigues, Roberta A.A. Fagundes · IEEE Latin America Transactions · 2017
We can notice a large increase in the number of various anomalies in computer networks, leading to concern about the identification of these attacks. One method proposed in this study is the use of data mining in an attempt to support a correct identification of these anomalies. The use of Weka tool allows using a labelled database, an identification and analysis of anomalies in a computer network environment serving as a basis for improvements in that environment.