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Volumn 3533 LNAI, Issue , 2005, Pages 445-447

Intelligent Bayesian classifiers in network intrusion detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER NETWORKS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; PROCESS CONTROL;

EID: 26944501944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11504894_62     Document Type: Conference Paper
Times cited : (6)

References (4)
  • 1
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detections systems
    • Nov.
    • Lee W., Stolfo S. J., A Framework for Constructing Features and Models for Intrusion Detections Systems, ACM Transactions on Information and System Security, Vol. 3, No. 4, Nov. 2000, p. 227.
    • (2000) ACM Transactions on Information and System Security , vol.3 , Issue.4 , pp. 227
    • Lee, W.1    Stolfo, S.J.2
  • 2
    • 26844574201 scopus 로고    scopus 로고
    • Applying data mining to intrusion detection: The quest for automation, efficiency, and credibility
    • Lee, W.: Applying Data Mining to Intrusion Detection: the Quest for Automation, Efficiency, and Credibility, SIGMOD Explorations, 2002, Vol. 4, Issue 2.
    • (2002) SIGMOD Explorations , vol.4 , Issue.2
    • Lee, W.1
  • 4
    • 84858583140 scopus 로고    scopus 로고
    • UCI KDD Archive. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.