상세정보
학술대회
Anomaly Detection of Excessive Network Traffic Based on Ratio and Volume Analysis
- 발행일
- 200605
- 출처
- International Conference on Intelligence and Security Informatics (ISI) 2006 (LNCS 3975), v.3975, pp.726-727
- 협약과제
- 06MK1100, 고성능 네트워크 정보보호 시스템 개발, 손승원
- 초록
- 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 제안 키워드
- Abnormal traffic, Analysis method, Flow Data, Network Failure, Network Traffic, Network bandwidth, Processing capacity, Statistical Anomaly Detection, Traffic anomalies, Traffic congestion, Volume analysis