Network traffic analysis - a different approach using incoming and outgoing traffic differences

Renato Preigschadt de Azevedo, Douglas Camargo Foster, Raul Ceretta Nunes, Alice Kozakevicius


The network traffic analysis is a fundamental area on network management because the network anomalies may affect the network quality of service. However, the data network traffic anomalies are still a critical issue. On last years signal processing methods like wavelet-based ones have been used to detect anomalies on network traffic, specially because wavelet transforms allow the selection of signal characteristics via a combined time-frequency representation. This paper explores a simple and fast wavelet
transform for analyzing the network flow, considering the difference between incoming and outgoing traffic data, for improving identification of deny of service attacks.

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Vetor, ISSN Impresso: 0102-7352, E-ISSN: 2358-3452, Rio Grande - RS. Brasil.