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Conference Paper
Anomaly Detection of Excessive Network Traffic 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 Conference on Intelligence and Security Informatics (ISI) 2006 (LNCS 3975), v.3975, pp.726-727
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- 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 Traffic, Network bandwidth, Network failures, Processing capacity, Statistical Anomaly Detection, Traffic anomaly, Traffic congestion, Volume analysis