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Nine Years of Observing Traffic Anomalies: Trending Analysis in Backbone Networks

Title
Nine Years of Observing Traffic Anomalies: Trending Analysis in Backbone Networks
Author
원영준
Issue Date
2013-05
Publisher
IEEE
Citation
IEEE International Symposium on Integrated Network Management, 2013, P.636-642
Abstract
We present the longitudinal trending analysis of traffic anomalies on a trans-Pacific backbone network over nine years. Throughout our analysis, we try to answer several questions: how frequent do such anomalies appear and how long do they last? Does a set of anomalous hosts occur correspondingly? We answer these by applying the state-of-the-art anomaly detectors to (un)anonymized packet traces and look into interesting insights from the long-term analysis. The key observations are as follow. The sources of anomalies are decreasing over the recent years, but take a significant portion of traffic volume during the measurement period (i.e., 0.03% of all IP addresses take up to 30% of traffic volume). The frequency analysis reveals that there is a clear periodicity of anomalies and anomalous host occurrences in various durations. Finally, we find the influences of anomaly detectors to the overall trending and how they differ from each other.
URI
http://ieeexplore.ieee.org/document/6573044/https://repository.hanyang.ac.kr/handle/20.500.11754/73110
ISBN
978-3-901882-50-0; 978-1-4673-5229-1
ISSN
1573-0077
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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