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Diagnosing Network-Wide Traffic Anomalies (2004)  (Make Corrections)  (5 citations)
Anukool Lakhina, Mark Crovella, Christophe Diot



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Abstract: Anomalies are unusual and significant changes in a network's traffic levels, which can often involve multiple links. Diagnosing anomalies is critical for both network operators and end users. It is a difficult problem because one must extract and interpret anomalous patterns from large amounts of high-dimensional, noisy data. (Update)

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3.2:   Diagnosing Network-Wide Traffic Anomalies - Anukool Lakhina Mark (2004)   (Correct)
0.4:   Characterization of Network-Wide Anomalies in Traffic Flows - Anukool Lakhina Mark (2004)   (Correct)
0.3:   Structural Analysis of Network Traffic Flows - Anukool Lakhina Konstantina (2003)   (Correct)

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0.2:   Sampling Biases in IP Topology Measurements - Lakhina, Byers, Crovella, Xie (2003)   (Correct)

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BibTeX entry:   (Update)

A. Lakhina, M. Crovella, and C. Diot. Diagnosing Network-Wide Traffic Anomalies. In ACM SIGCOMM, Portland, August 2004. http://citeseer.ist.psu.edu/article/lakhina04diagnosing.html   More

@misc{ lakhina04diagnosing,
  author = "A. Lakhina and M. Crovella and C. Diot",
  title = "Diagnosing Network-Wide Traffic Anomalies",
  text = "A. Lakhina, M. Crovella, and C. Diot. Diagnosing Network-Wide Traffic Anomalies.
    In ACM SIGCOMM, Portland, August 2004.",
  year = "2004",
  url = "citeseer.ist.psu.edu/article/lakhina04diagnosing.html" }
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www.cisco.com/warp/public/732/Tech/netflow/
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