Study of Anomaly Detection Method using Hurst Space.

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This study proposes a newly defined expression of traffic characteristic to quantify a non-stationarity of the Internet traffic time series, and an anomaly detection method for periodic time series using that characteristic as well. The proposed method showed that it was effective for the detection of low-rate attacks having such a cycle as long-term port scan.Furthermore, from the viewpoint of supporting a network manager, we proposed helpful visualization methods to the manager by using the Hurst space to step up the visibility of the characteristic changes.