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Abstract: Network management and security is currently one of the most vibrant researchareas, among which, research on detecting and identifying anomalies hasattracted a lot of interest. Researchers are still struggling to find aneffective and lightweight method for anomaly detection purpose. In this paper,we propose a simple, robust method that detects network anomalous traffic databased on flow monitoring. Our method works based on monitoring the fourpredefined metrics that capture the flow statistics of the network. In order toprove the power of the new method, we did build an application that detectsnetwork anomalies using our method. And the result of the experiments provesthat by using the four simple metrics from the flow data, we do not onlyeffectively detect but can also identify the network traffic anomalies.



Autor: Huy Nguyen, Tam Van Nguyen, Dong Il Kim, Deokjai Choi

Fuente: https://arxiv.org/







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