메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Inferring applications at the network layer using collective traffic statistics

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATE TRAFFIC; CLASSIFICATION ACCURACY; COLLECTIVE TRAFFICS; DIFFERENTIATORS; GRAPH-BASED; NETWORK INFRASTRUCTURE; NOVEL TECHNIQUES; PROTOCOL LEVEL; REAL TRAFFIC; SERVICE PROVIDER; SPATIAL DISTRIBUTION; TCP/UDP; TRAFFIC DISTRIBUTIONS; TRAFFIC FEATURES; TRAFFIC FLOW; TUNNELING PROTOCOLS;

EID: 78650094849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITC.2010.5608729     Document Type: Conference Paper
Times cited : (12)

References (18)
  • 2
    • 78650123400 scopus 로고    scopus 로고
    • Port numbers, http://www.iana.org/assignments/port-numbers.
  • 4
    • 33746084746 scopus 로고    scopus 로고
    • Security architecture for the internet protocol
    • December
    • S. Kent and K. Seo. Security architecture for the internet protocol. RFC 4310, December 2005.
    • (2005) RFC 4310
    • Kent, S.1    Seo, K.2
  • 5
    • 14344265818 scopus 로고    scopus 로고
    • Internet traffic classification using Bayesian analysis techniques
    • A. W. Moore and D. Zuev. Internet traffic classification using Bayesian analysis techniques. In Proc. of ACM SIGMETRICS'05, 2005.
    • (2005) Proc. of ACM SIGMETRICS'05
    • Moore, A.W.1    Zuev, D.2
  • 7
    • 34548118248 scopus 로고    scopus 로고
    • Offline/realtime traffic classification using semi-supervised learning
    • DOI 10.1016/j.peva.2007.06.014, PII S0166531607000648
    • J. Erman, A. Mahanti, M. F. Arlitt, I. Cohen, and C. L. Williamson. Offline/Realtime traffic classification using semi-supervised learning. Perform. Eval., 64(9-12):1194-1213, 2007. (Pubitemid 47302132)
    • (2007) Performance Evaluation , vol.64 , Issue.9-12 , pp. 1194-1213
    • Erman, J.1    Mahanti, A.2    Arlitt, M.3    Cohen, I.4    Williamson, C.5
  • 8
    • 70449686700 scopus 로고    scopus 로고
    • Unveiling core networkwide communication patterns through application traffic activity graph decomposition
    • Y. Jin, E. Sharafuddin, and Z-L. Zhang. Unveiling core networkwide communication patterns through application traffic activity graph decomposition. In Proc. of SIGMETRICS '09, pages 49-60, 2009.
    • (2009) Proc. of SIGMETRICS '09 , pp. 49-60
    • Jin, Y.1    Sharafuddin, E.2    Zhang, Z.-L.3
  • 12
    • 62849120844 scopus 로고    scopus 로고
    • A survey of techniques for internet traffic classification using machine learning
    • T. Nguyen and G. Armitage. A survey of techniques for internet traffic classification using machine learning. Communications Surveys & Tutorials, IEEE, 10(4), 2008.
    • (2008) Communications Surveys & Tutorials, IEEE , vol.10 , Issue.4
    • Nguyen, T.1    Armitage, G.2
  • 13
    • 76749108118 scopus 로고    scopus 로고
    • Exploiting dynamicity in graph-based traffic analysis: Techniques and applications
    • M. Iliofotou, M. Faloutsos, and M. Mitzenmacher. Exploiting dynamicity in graph-based traffic analysis: techniques and applications. In Proc. of CoNext'09, 2009.
    • (2009) Proc. of CoNext'09
    • Iliofotou, M.1    Faloutsos, M.2    Mitzenmacher, M.3
  • 18
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: a boosting-based system for text categorization
    • R. E. Schapire and Y. Singer. Boostexter: A boosting-based system for text categorization. Mach. Learn., 39(2-3):135-168, 2000. (Pubitemid 30594821)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.