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.