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

Abstract : 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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https://hal.inria.fr/hal-01529787
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Cynthia Wagner, Thomas Engel. Detecting Anomalies in Netflow Record Time Series by Using a Kernel Function. 6th International Conference on Autonomous Infrastructure (AIMS), Jun 2012, Luxembourg, Luxembourg. pp.122-125, ⟨10.1007/978-3-642-30633-4_16⟩. ⟨hal-01529787⟩

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