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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.
Cited literature [14 references]
https://hal.inria.fr/hal-01529787
Contributor : Hal Ifip <>
Submitted on : Wednesday, May 31, 2017 - 1:17:49 PM
Last modification on : Wednesday, May 31, 2017 - 1:19:35 PM
Long-term archiving on: : Wednesday, September 6, 2017 - 4:06:02 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, May 31, 2017 - 1:17:49 PM
Last modification on : Wednesday, May 31, 2017 - 1:19:35 PM
Long-term archiving on: : Wednesday, September 6, 2017 - 4:06:02 PM
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