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Volumn , Issue , 2010, Pages 310-314

Network traffic classification based on kernel self-organizing maps

Author keywords

Kernel function; Nonlinearity; Self Organizing Maps; Traffic classification

Indexed keywords

CONNECTION WEIGHTS; EUCLIDEAN DISTANCE; HIGH-DIMENSIONAL; INPUT PATTERNS; KERNEL FUNCTION; KERNEL SELF-ORGANIZING MAP; KERNEL-SOM; MATCHING DEGREE; NETWORK TRAFFIC; NETWORK TRAFFIC CLASSIFICATION; NON-EUCLIDEAN DISTANCE; NONLINEARITY; TRAFFIC CLASSIFICATION;

EID: 78651413712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISS.2010.5657079     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 5
    • 0025489075 scopus 로고
    • The self-organizing maps[J]
    • Kohonen T. The Self-organizing Maps[J]. Proceedings of the IEEE, 1990, 78(9): 1464-1480.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 10
    • 24344461274 scopus 로고    scopus 로고
    • Traffic classification using a statistical approach
    • Passive and Active Network Measurement - 6th International Workshop, PAM 2005, Proceedings
    • Zuev D, Moore A W. Traffic Classification Using a Statistical Approach[C]//Proc. of the PAM 2005. LNCS 3431,Heidelberg: Springer Verlag, 2005. 321-324. (Pubitemid 41252756)
    • (2005) Lecture Notes in Computer Science , vol.3431 , pp. 321-324
    • Zuev, D.1    Moore, A.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.