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Volumn 31, Issue 11, 2003, Pages 1713-1716

Unsupervised clustering-based intrusion detection method

Author keywords

Data mining; Intrusion detection; Unlabeled data; Unsupervised clustering

Indexed keywords

ALGORITHMS; DATA MINING; TELECOMMUNICATION NETWORKS;

EID: 1642337955     PISSN: 03722112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (28)

References (10)
  • 1
    • 1642352669 scopus 로고    scopus 로고
    • Chinese source
  • 2
    • 0141797880 scopus 로고    scopus 로고
    • A geometric framework for unsupervised anomaly detection: Detecting intrusions in unlabeled data
    • Kluwer Academic Publisher, Boston
    • Eskin E, Arnold A, Prerau M, et al. A geometric framework for unsupervised anomaly detection: detecting intrusions in unlabeled data [A]. Applications of Data Mining in Computer Security [C]. Kluwer Academic Publisher, Boston, 2002. 77-102.
    • (2002) Applications of Data Mining in Computer Security , pp. 77-102
    • Eskin, E.1    Arnold, A.2    Prerau, M.3
  • 3
    • 1642375563 scopus 로고    scopus 로고
    • Adaptive model generation: An architecture for the deployment of data mining-based intrusion detection systems
    • Kluwer Academic Publisher, Boston
    • Honig A, Howard A, Eskin E, et al. Adaptive model generation: an architecture for the deployment of data mining-based intrusion detection systems [A]. Applications of Data Mining in Computer Security [C]. Kluwer Academic Publisher, Boston, 2002. 153-194.
    • (2002) Applications of Data Mining in Computer Security , pp. 153-194
    • Honig, A.1    Howard, A.2    Eskin, E.3
  • 5
    • 0009900351 scopus 로고    scopus 로고
    • Anomaly detection over noisy data using learned probability distributions
    • Morgan Kaufmann Press, Palo Alto, CA
    • Eskin E. Anomaly detection over noisy data using learned probability distributions [A]. In Proceeding International Conference on Machine Learning [C]. Morgan Kaufmann Press, Palo Alto, CA, 2000. 255-262.
    • (2000) Proceeding International Conference on Machine Learning , pp. 255-262
    • Eskin, E.1
  • 6
    • 1642406162 scopus 로고    scopus 로고
    • Chinese source
  • 7
    • 1642289202 scopus 로고    scopus 로고
    • Clustering problems and their applications (a survey)
    • Cecilia M Procopiuc. Clustering problems and their applications (a survey) [DB/OL]. Department of Computer Science, Duke 1997. http://www.cs.duke.edu/-magda.
    • (1997) Department of Computer Science
    • Procopiuc, C.M.1
  • 9
    • 34147192817 scopus 로고    scopus 로고
    • KDD99 cup dataset
    • KDD99
    • KDD99. KDD99 cup dataset [DB/OL]. http://kdd.ics.uci.databases/kddcup99, 1999.
    • (1999)
  • 10
    • 1642355888 scopus 로고    scopus 로고
    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.