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Conference papers

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

Cynthia Wagner 1 Thomas Engel 1 
1 S'nT - Security, Reliability and Trust Interdisciplibary Research Centre
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.
Keywords : Netflow records Aggregation Kernel Function
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Conference papers
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Distributed under a Creative Commons Attribution 4.0 International License

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IFIP-LNCS | IFIP | IFIP-TC | IFIP-TC6 | IFIP-AIMS | IFIP-WG6-6 | IFIP-LNCS-7279

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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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