Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:C2L-F
Session:
Number:C2L-F-1
Internet Traffic Anomalies and Their Detection Techniques
Kensuke Fukuda,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
DOI:10.34385/proc.48.C2L-F-1
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Summary:
We first explain anomalous behavior in Internet traffic. Then, we introduce several anomaly detection algorithms based on statistical approach. Finally, we demonstrate performance improvement by combining these detection algorithms, with publicly available backbone traffic datasets.