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Volumn 17, Issue 3, 2003, Pages 441-458

Computer intrusion detection with classification and anomaly detection, using SVMs

Author keywords

Anomaly detection; Classification; Intrusion detection; Outlier detection; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; LEARNING SYSTEMS; PACKET NETWORKS;

EID: 0038266786     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001403002459     Document Type: Conference Paper
Times cited : (27)

References (19)
  • 2
    • 0026966646 scopus 로고
    • A training algorithm for optimal margin classifiers
    • Philadelphia, PA
    • B. Boser, I. Guyon and V. Vapnik, "A training algorithm for optimal margin classifiers," Proc. COLT II, Philadelphia, PA, 1992, pp. 144-152.
    • (1992) Proc. COLT II , pp. 144-152
    • Boser, B.1    Guyon, I.2    Vapnik, V.3
  • 7
    • 0038428854 scopus 로고    scopus 로고
    • Results of the KDD'99 classifier learning contest
    • C. Elkan, "Results of the KDD'99 classifier learning contest," ACM SIGKDD Newsletter 1, 2 (2000) 63-77.
    • (2000) ACM SIGKDD Newsletter 1 , vol.2 , pp. 63-77
    • Elkan, C.1
  • 13
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • eds. B. Schlkopf, C. Burges and A. Smola, MIT Press
    • T. Joachims, "Making large-scale SVM learning practical," Advances in Kernel Methods - Support Vector Learning, eds. B. Schlkopf, C. Burges and A. Smola, MIT Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 14
    • 0141723181 scopus 로고    scopus 로고
    • KDD Cup 1999 Data, http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
    • KDD Cup 1999 Data
  • 17


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.