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Volumn , Issue , 2005, Pages 219-220

Learning-based anomaly detection in BGP updates

Author keywords

Anomaly Detection; Instance Based Learning; Wavelets

Indexed keywords

INTERNET; LEARNING SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); ROUTERS; SECURITY OF DATA;

EID: 63049104703     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1080173.1080189     Document Type: Conference Paper
Times cited : (45)

References (12)
  • 3
    • 84943526715 scopus 로고    scopus 로고
    • The temporal and topological characteristics of BGP path changes
    • D.-F. Chang, R. Govindau, and J. Heidemann. The temporal and topological characteristics of BGP path changes. In Proc. IEEE ICNP, 2003.
    • (2003) Proc. IEEE ICNP
    • Chang, D.-F.1    Govindau, R.2    Heidemann, J.3
  • 8
    • 13944272563 scopus 로고    scopus 로고
    • Combining visual and automated data mining for near-real-time anomaly detection and analysis in BGP
    • S. T. Teoh, K. Zhang, S.-M. Tseng, K.-L. Ma, and S. F. Wu. Combining visual and automated data mining for near-real-time anomaly detection and analysis in BGP. In Proc. VizSEC/DMSEC, 2004.
    • (2004) Proc. VizSEC/DMSEC
    • Teoh, S.T.1    Zhang, K.2    Tseng, S.-M.3    Ma, K.-L.4    Wu, S.F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.