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Volumn , Issue , 2004, Pages 99-108

Combining a Bayesian classifier with visualisation: Understanding the IDS

Author keywords

Intrusion detection; Naive Bayesian Classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER SCIENCE; LEARNING SYSTEMS; PROBABILITY; SERVERS; STATISTICAL METHODS; VIDEO CAMERAS; VISUALIZATION; WORLD WIDE WEB;

EID: 13944258403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1029208.1029224     Document Type: Conference Paper
Times cited : (19)

References (10)
  • 2
    • 0142250273 scopus 로고    scopus 로고
    • Visualization for intrusion detection: Hooking the worm
    • The proceedings of the 8th European Symposium on Research in Computer Security (ESORICS 2003), Gjøvik, Norway, 13-15 Oct. Springer Verlag
    • S. Axelsson. Visualization for intrusion detection: Hooking the worm. In The proceedings of the 8th European Symposium on Research in Computer Security (ESORICS 2003), volume 2808 of LNCS, Gjøvik, Norway, 13-15 Oct. 2003. Springer Verlag.
    • (2003) LNCS , vol.2808
    • Axelsson, S.1
  • 4
    • 0003263256 scopus 로고    scopus 로고
    • Self-organizing maps
    • Springer Verlag, Third edition, ISBN 3-540-67921-9, ISSN 0720-678X
    • T. Kohonen. Self-Organizing Maps, volume 30 of Springer Series in Information Sciences. Springer Verlag, Third edition, 2001. ISBN 3-540-67921-9, ISSN 0720-678X.
    • (2001) Springer Series in Information Sciences , vol.30
    • Kohonen, T.1
  • 5
    • 0034836392 scopus 로고    scopus 로고
    • Information-theoretic measures for anomaly detection
    • Oakland, California, USA, 14-16 May. IEEE
    • W. Lee and D. Xiang. Information-theoretic measures for anomaly detection. In IEEE Symposium on Security and Privacy, Oakland, California, USA, 14-16 May 2001. IEEE.
    • (2001) IEEE Symposium on Security and Privacy
    • Lee, W.1    Xiang, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.