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Volumn 19, Issue 8, 2008, Pages 2140-2148

Algorithm for automatic clustering number determination in networks intrusion detection

Author keywords

Clustering number; Fuzzy C means algorithm; Fuzzy membership function; Intrusion detection; Support vector machine

Indexed keywords

ALGORITHMS; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; FLOW OF SOLIDS; FUZZY CLUSTERING; FUZZY RULES; FUZZY SYSTEMS; IMAGE RETRIEVAL; IMAGING TECHNIQUES; INTRUSION DETECTION; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; SET THEORY; SUPPORT VECTOR MACHINES; VECTORS;

EID: 50049091231     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1001.2008.02140     Document Type: Article
Times cited : (13)

References (11)
  • 3
    • 17944371143 scopus 로고    scopus 로고
    • Fuzzy multi-class support vector machine and application in intrusion detection
    • in Chinese
    • Li KL, Huang HK, Tian SF, Liu ZP, Liu ZQ. Fuzzy multi-class support vector machine and application in intrusion detection. Chinese Journal of Computers, 2005, 28(2): 274-280 (in Chinese with English abstract).
    • (2005) Chinese Journal of Computers , vol.28 , Issue.2 , pp. 274-280
    • Li, K.L.1    Huang, H.K.2    Tian, S.F.3    Liu, Z.P.4    Liu, Z.Q.5
  • 6
    • 50049113437 scopus 로고    scopus 로고
    • Research of the network intrusion detection based on fuzzy clustering
    • in Chinese
    • Yang DG. Research of the network intrusion detection based on fuzzy clustering. Computer Science, 2005, 32(1): 86-91 (in Chinese with English abstract).
    • (2005) Computer Science , vol.32 , Issue.1 , pp. 86-91
    • Yang, D.G.1
  • 8
    • 1642337955 scopus 로고    scopus 로고
    • An unsupervised clustering-based intrusion detection method
    • in Chinese
    • Luo M, Wang LN, Zhang HG. An unsupervised clustering-based intrusion detection method. Acta Electronica Sinica, 2003, 31(11): 1713-1716 (in Chinese with English abstract).
    • (2003) Acta Electronica Sinica , vol.31 , Issue.11 , pp. 1713-1716
    • Luo, M.1    Wang, L.N.2    Zhang, H.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.