Automated Classification of Network Traffic Anomalies

@inproceedings{Fernandes2009AutomatedCO,
  title={Automated Classification of Network Traffic Anomalies},
  author={Guilherme Fernandes and Philippe Owezarski},
  booktitle={SecureComm},
  year={2009}
}
Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem. This paper presents a new algorithm for automated classification of network traffic anomalies. The algorithm relies on three steps: (i) after an anomaly has been detected, identify all (or most) related packets or flow records… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 17 references

Characterization of network-wide anomalies in traffic flows

Internet Measurement Conference • 2004
View 8 Excerpts
Highly Influenced

A signal analysis of network traffic anomalies

Internet Measurement Workshop • 2002
View 4 Excerpts
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Automated classification of network traffic anomalies

G. Fernandes, P. Owezarski
LAAS Report No 08468 • 2008
View 1 Excerpt

Detection and identification of network anomalies using sketch subspaces

Internet Measurement Conference • 2006
View 3 Excerpts

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