Leonardo Vilaça Silva,  Eduardo Luzeiro Feitosa,  Djamel Sadok,  Judith Kelner. 

In the current security situation of computer networks, traffic anomalies generated by many different reasons have affected an increasing portion of the Internet. This paper presents a tool for correlation and prediction of alerts based on frequent episodes technique to detect anomalous traffic. For validation, tests will be done in a controlled environment using DARPA 2000 dataset and real traffic.

http://www.lbd.dcc.ufmg.br/colecoes/sbseg/2010/0012.pdf

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