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Volumn 4443 LNCS, Issue , 2007, Pages 140-151

A robust feature normalization scheme and an optimized clustering method for anomaly-based intrusion detection system

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLUSTER ANALYSIS; COMPUTER SYSTEMS; INTRUSION DETECTION; OPTIMIZATION;

EID: 38049129740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71703-4_14     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 3
    • 0004118981 scopus 로고
    • The NIDES statistical component: Description and justification
    • Computer Science Laboratory, SRI International
    • H. S. Javitz and A. Valdes, "The NIDES statistical component: description and justification", In Technical Report, Computer Science Laboratory, SRI International, 1993.
    • (1993) In Technical Report
    • Javitz, H.S.1    Valdes, A.2
  • 14
    • 17044376078 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional data: A review
    • L. Parsons, E. Haque, and H. Liu, "Subspace clustering for high dimensional data: A review", SIGKDD Explorations, 6(1), 2004, pp.90-105.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 90-105
    • Parsons, L.1    Haque, E.2    Liu, H.3
  • 16
    • 0003770145 scopus 로고
    • ISODATA, a novel method of data analysis and classification
    • Tech. Rep, Stanford University, Stanford, CA
    • Ball, G. H. and Hall, D. J., "ISODATA, a novel method of data analysis and classification", Tech. Rep.. Stanford University, Stanford, CA, 1965.
    • (1965)
    • Ball, G.H.1    Hall, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.