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Volumn , Issue , 2010, Pages

Real-time traffic classification based on statistical and payload content features

Author keywords

Intelligent traffic classification; Machine learning; Payload content features; Statistical features

Indexed keywords

BAYES ALGORITHMS; DEEP PACKET INSPECTION; FLOW INFORMATIONS; IN-NETWORK MANAGEMENT; LOW COMPLEXITY; MACHINE-LEARNING; OPERATIONAL LOADS; PORT NUMBERS; REAL TIME TRAFFICS; REAL-TIME NETWORKS; SERVICE REQUIREMENTS; STATISTICAL FEATURES; TRAFFIC CHARACTERISTICS; TRAFFIC CLASSIFICATION; TRANSPORT LAYERS;

EID: 77954404304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWISA.2010.5473467     Document Type: Conference Paper
Times cited : (30)

References (22)
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    • Qian, F.1    Hu, G.2    Yao, X.3
  • 6
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    • T. T. T. Nguyen and G. Armitage, "A survey of techniques for internet traffic classification using machine learning," IEEE Communications Surveys and Tutorials, vol. 10, pp. 56-76, 2008.
    • (2008) IEEE Communications Surveys and Tutorials , vol.10 , pp. 56-76
    • Nguyen, T.T.T.1    Armitage, G.2
  • 12
    • 33244467936 scopus 로고    scopus 로고
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    • (2005) ACM Sigmetrics Performance Evaluation Review , vol.33 , pp. 50-60
    • Moore, A.W.1    Zuev, D.2
  • 19
    • 77954410323 scopus 로고    scopus 로고
    • Supervised Learning Real-time Traffic Classifiers
    • Y. Wang and S. Z. Yu, "Supervised Learning Real-time Traffic Classifiers," Journal of Networks, vol. 4, 2009.
    • (2009) Journal of Networks , vol.4
    • Wang, Y.1    Yu, S.Z.2
  • 21
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    • Wireshark-network protocol analyzer
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    • (2008) Current July
    • Combs, G.1
  • 22
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    • Sept. 15
    • M. W. Group, "http://mawi.wide.ad.jp/mawi/," Sept. 15, 2008.
    • (2008)
    • Group, M.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.