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Volumn 4979 LNCS, Issue , 2008, Pages 72-81

On the validation of traffic classification algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); NETWORK MANAGEMENT; PROBLEM SOLVING;

EID: 43949108876     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79232-1_8     Document Type: Conference Paper
Times cited : (64)

References (19)
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  • 2
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  • 3
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    • RFC 2113, http://www.networksorcery.com/enp/rfc/rfc2113.txt
    • RFC 2113, http://www.networksorcery.com/enp/rfc/rfc2113.txt
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    • RFC 2246, http://www.ietf.org/rfc/rfc2246.txt
    • RFC 2246, http://www.ietf.org/rfc/rfc2246.txt
  • 5
    • 43949143270 scopus 로고    scopus 로고
    • RFC 4251, http://www.ietf.org/rfc/rfc4251.txt
    • RFC 4251, http://www.ietf.org/rfc/rfc4251.txt
  • 6
    • 43949143614 scopus 로고    scopus 로고
    • Skype, http://www.skype.com
    • Skype
  • 8
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    • uTorrent, http://www.utorrent.com
    • uTorrent, http://www.utorrent.com
  • 9
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    • World of Warcraft
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    • Traffic classification using clustering algorithms
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    • Erman, J., Arlitt, M., Mahanti, A.: Traffic classification using clustering algorithms. In: Proc. MineNet 2006, New York, USA (2006)
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    • Erman, J.1    Arlitt, M.2    Mahanti, A.3
  • 12
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    • BLINC: Multilevel Traffic Classification in the Dark
    • Philadelphia, Pennsylvania, USA August
    • Karagiannis, T., Papagiannaki, K., Faloutsos, M.: BLINC: Multilevel Traffic Classification in the Dark. In: Proc. ACM SIGCOMM, Philadelphia, Pennsylvania, USA (August 2005)
    • (2005) Proc. ACM SIGCOMM
    • Karagiannis, T.1    Papagiannaki, K.2    Faloutsos, M.3
  • 13
    • 43949138370 scopus 로고    scopus 로고
    • Flow Clustering Using Machine Learning Techniques
    • Antibes Juan-les-Pins, France April
    • McGregor, A., Hall, M., Lorier, P., Brunskill, A.: Flow Clustering Using Machine Learning Techniques. In: Proc. PAM, Antibes Juan-les-Pins, France (April 2004)
    • (2004) Proc. PAM
    • McGregor, A.1    Hall, M.2    Lorier, P.3    Brunskill, A.4
  • 14
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    • Internet Traffic Classification Using Bayesian Analysis Techniques
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    • Moore, A.W., Zuev, D.: Internet Traffic Classification Using Bayesian Analysis Techniques. In: Proc. SIGMETRICS, Banff, Alberta, Canada (June 2005)
    • (2005) Proc. SIGMETRICS
    • Moore, A.W.1    Zuev, D.2
  • 15
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    • Enhanced skype traffic identification
    • Perenyi, M., Molnar, S.: Enhanced skype traffic identification. In: Proc. Valuetools 2007 (2007)
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    • Perenyi, M.1    Molnar, S.2
  • 16
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    • Sen, S., Wang, J.: Analyzing peer-to-peer traffic across large networks. In: Proc. Second Annual ACM Internet Measurement Workshop (November 2002)
    • Sen, S., Wang, J.: Analyzing peer-to-peer traffic across large networks. In: Proc. Second Annual ACM Internet Measurement Workshop (November 2002)
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    • Accurate traffic classification
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    • Szabó, G., Szabó, I., Orincsay, D.: Accurate traffic classification. In: Proc. IEEE WOWMoM, Helsinki, Finnland (June 2007)
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  • 18
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    • Profiling Internet Backbone Traffic: Behavior Models and Applications
    • Philadelphia, Pennsylvania, USA August
    • Xu, K., Zhang, Z., Bhattacharyya, S.: Profiling Internet Backbone Traffic: Behavior Models and Applications. In: Proc. ACM SIGCOMM, Philadelphia, Pennsylvania, USA (August 2005)
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    • Xu, K.1    Zhang, Z.2    Bhattacharyya, S.3
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    • Automated Traffic Classification and Application Identification Using Machine Learning
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    • Zander, S., Nguyen, T., Armitage, G.: Automated Traffic Classification and Application Identification Using Machine Learning. In: Proc. IEEE LCN, Sydney, Australia (November 2005)
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    • Zander, S.1    Nguyen, T.2    Armitage, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.