Comparação de Classificadores Para Detecção de Ataques em Redes de Computadores (Classifiers Comparison For Attack Detection in Computer Networks)

Klismann Raphael Santos (klismannsantos@gmail.com)1, Iago Richard Rodrigues Silva (iagorrs@gmail.com)1, Roberta Andrade Araujo Fagundes (raafupe@gmail.com)1


1Universidade de Pernambuco - UPE

This paper appears in: Revista IEEE América Latina

Publication Date: Jan. 2017
Volume: 15,   Issue: 1 
ISSN: 1548-0992


Abstract:
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.

Index Terms:
Data Mining, KDD, Computer Network, Detection Attack, Classification, Navie Bayes, Bayesian networks, k-NN   


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