Detecting Anomalies in Netflow Record Time Series by Using a Kernel Function

نویسندگان

  • Cynthia Wagner
  • Thomas Engel
چکیده

This paper presents current work for the detection of anomalies in Netflow records by leveraging a kernel function method. Netflow records are spatially aggregated over time, such that the designed kernel function can capture topological and quantitative changes in network traffic time series.

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تاریخ انتشار 2012