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Volumn 5787 LNCS, Issue , 2009, Pages 291-300

Volume traffic anomaly detection using hierarchical clustering

Author keywords

Anomaly Detection; Hierarchical Clustering; Network Management; Volume Traffic

Indexed keywords

ANOMALY DETECTION; BACK-BONE NETWORK; HIERARCHICAL CLUSTERING; HIERARCHICAL CLUSTERING ALGORITHMS; NETWORK OPERATOR; ROBUST NETWORK; SIMILAR PATTERN; TRAFFIC ANOMALIES; TRAFFIC FLUCTUATIONS; TRAFFIC PATTERN; VOLUME TRAFFIC;

EID: 70449111889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04492-2_30     Document Type: Conference Paper
Times cited : (3)

References (17)
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    • The Impact of Residential Broadband Traffic on Japanese ISP Backbones
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    • Fukuda, K.1    Cho, K.2    Esaki, H.3
  • 7
    • 21844451952 scopus 로고    scopus 로고
    • Diagnosing Network-Wide Traffic Anomalies
    • Lakhina, A., Crovella, M., Diot, C.: Diagnosing Network-Wide Traffic Anomalies. In: ACM SIGCOMM, pp. 219-230 (2004)
    • (2004) ACM SIGCOMM , pp. 219-230
    • Lakhina, A.1    Crovella, M.2    Diot, C.3
  • 10
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    • Internet Traffic Classification Demystified: Myths, Caveats, and the Best Practices
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  • 13
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    • Correlation, http://en.wikipedia.org/wiki/Correlation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.