Detecting Anomalies in Netflow Record Time Series by Using a Kernel Function - Dependable Networks and Services
Conference Papers Year : 2012

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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Computer Science [cs] Networking and Internet Architecture [cs.NI]
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Submitted on : Wednesday, May 31, 2017-1:17:49 PM

Last modification on : Wednesday, September 25, 2024-9:56:06 AM

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hal-01529787 , version 1 (31-05-2017)

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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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