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Network Traffic Anomaly Detection based on Ratio and Volume Analysis
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- Authors
- Hyun Joo Kim, Jung C. Na, Jong S. Jang
- Issue Date
- 2006-05
- Citation
- International Journal of Computer Science and Network Security, v.6, no.5B, pp.190-194
- ISSN
- 1738-7906
- Publisher
- International Journal of Computer Science and Network Security
- Language
- English
- Type
- Journal Article
- Project Code
- 06MK1100, The Development of the High Performance Network Security System, Sohn Sung Won
- Abstract
- Recent attacks typically cause not only traffic congestion but also network failure exhausting network bandwidth, router processing capacity using the abnormal traffic or excessive network traffic, so that they can have an extremely large impact on the public network. Therefore we propose the detection mechanism of network traffic anomalies. This mechanism analyzes flow data based on the statistical anomaly detection, which supports the two analysis method- ratio based analysis and volume based analysis and correlates the results from these two models. © Springer-Verlag Berlin Heidelberg 2006.
- KSP Keywords
- Abnormal traffic, Analysis method, Flow Data, Network Failure, Network bandwidth, Network traffic anomaly, Processing capacity, Statistical Anomaly Detection, Traffic congestion, Volume analysis, detection mechanism