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Volumn , Issue , 2005, Pages 117-122

Design of multiple-level hybrid classifier for intrusion detection system

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CRIME; COMPUTER NETWORKS; DATA MINING; LEARNING SYSTEMS; PATTERN RECOGNITION; TREES (MATHEMATICS);

EID: 33749058745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2005.1532885     Document Type: Conference Paper
Times cited : (30)

References (8)
  • 1
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detection systems
    • Nov.
    • W. Lee and S. J. Stolfo, "A Framework for Constructing Features and Models for Intrusion Detection Systems," ACM Transactions on Information and System Security, Vol. 3, No. 4, pp. 227-261, Nov., 2000.
    • (2000) ACM Transactions on Information and System Security , vol.3 , Issue.4 , pp. 227-261
    • Lee, W.1    Stolfo, S.J.2
  • 6
    • 0141723181 scopus 로고    scopus 로고
    • Information and Computer Science, University of California, Irvine
    • KDD Cup 1999 Data, Information and Computer Science, University of California, Irvine. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99. html
    • KDD Cup 1999 Data
  • 7
    • 11244260106 scopus 로고    scopus 로고
    • University of Waikato, New Zealand
    • Weka 3: Data Mining Software in Java, University of Waikato, New Zealand. http://www.cs.waikato.ac.nz/~ml/weka/
    • Weka 3: Data Mining Software in Java
  • 8
    • 33749041526 scopus 로고    scopus 로고
    • AutoClass C-General Information: http://ic.arc.nasa.gov/ic/projects/bavesgroup/AutoClass/AutoClass-c-program.html
    • AutoClass C-general Information


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.