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Volumn , Issue , 2008, Pages

Network intrusion detection using feature selection and decision tree classifier

Author keywords

Chi square; Decision trees; Feature selection; Filter method; Information gain; ReliefF

Indexed keywords

CHI SQUARE; FEATURE SELECTION; FILTER METHOD; INFORMATION GAIN; RELIEFF;

EID: 63049106254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2008.4766847     Document Type: Conference Paper
Times cited : (19)

References (28)
  • 1
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • December
    • A Blum and P Langley, "Selection of relevant features and examples in machine learning", Artificial Intelligence, 97(1-2):245-271, December 1997
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 3
    • 0013326060 scopus 로고    scopus 로고
    • Feature Selection for Classification
    • M Dash and H Liu, "Feature Selection for Classification," Intelligent Data Analysis: An Int'l J., vol. 1, no. 3, pp 131-156, 1997
    • (1997) Intelligent Data Analysis: An Int'l J , vol.1 , Issue.3 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 5
    • 25844491810 scopus 로고    scopus 로고
    • An Intelligent Intrusion Detection System for Anomaly and Misuse Detection in Computer Networks
    • O Depren, M Topallar, E Anarim, and M K Ciliz "An Intelligent Intrusion Detection System for Anomaly and Misuse Detection in Computer Networks" Expert systems with Applications, 29:713-722, 2005.
    • (2005) Expert systems with Applications , vol.29 , pp. 713-722
    • Depren, O.1    Topallar, M.2    Anarim, E.3    Ciliz, M.K.4
  • 6
    • 63049115197 scopus 로고    scopus 로고
    • J Doak, An evaluation of feature selection methods and their application to computer security, Technical report, DavisCA: University of California, Department of Computer Science,1992
    • J Doak, "An evaluation of feature selection methods and their application to computer security", Technical report, DavisCA: University of California, Department of Computer Science,1992
  • 10
    • 0029503525 scopus 로고    scopus 로고
    • H.Liu, Setiono and R., Chi2:feature selection and discretization of numeric attributes, in Proc of the Seventh International Conference on Tools with Artificial Intelligence, pp.388 - 391, 1995.
    • H.Liu, Setiono and R., "Chi2:feature selection and discretization of numeric attributes", in Proc of the Seventh International Conference on Tools with Artificial Intelligence, pp.388 - 391, 1995.
  • 11
    • 33745561205 scopus 로고    scopus 로고
    • An Introduction to Variable and Feature Selection
    • Isabelle Guyon, André Elisseeff, "An Introduction to Variable and Feature Selection", Journal of Machine Learning Research 3 (2003) 1157-1182
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 13
    • 63049108044 scopus 로고    scopus 로고
    • KDDCUP 1999
    • KDDCUP 1999.
  • 14
    • 0027002164 scopus 로고
    • The feature selection problem: Traditional methods and new algorithm
    • K Kira, and L. A. Rendell: 1992a, 'The feature selection problem: traditional methods and new algorithm'. In: Proceedings of AAAI'92
    • (1992) Proceedings of AAAI'92
    • Kira, K.1    Rendell, L.A.2
  • 15
    • 0031381525 scopus 로고    scopus 로고
    • Wrapper for Feature Subset Selection
    • R Kohavi and G H John, "Wrapper for Feature Subset Selection", Artificial Intelligence, vol. 97, no. 1-2, pp. 273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 17
    • 0034455983 scopus 로고    scopus 로고
    • Adaptive intrusion detection: A Data Mining approach
    • W Lee, S. J. Stolfo, and K. W. Mok, "Adaptive intrusion detection: A Data Mining approach", Artificial Intelligence Review 14 (6), 533567, 2000
    • (2000) Artificial Intelligence Review , vol.14 , Issue.6 , pp. 533567
    • Lee, W.1    Stolfo, S.J.2    Mok, K.W.3
  • 18
    • 10244260290 scopus 로고    scopus 로고
    • Decision tree classifier for computer intrusion detection
    • Li, X., and Ye, N., "Decision tree classifier for computer intrusion detection.", Journal of Parallel and Distributed Computing Practices, 4(2), pp 179-190, 2001
    • (2001) Journal of Parallel and Distributed Computing Practices , vol.4 , Issue.2 , pp. 179-190
    • Li, X.1    Ye, N.2
  • 19
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and Empirical Analysis of ReliefF and RReliefF
    • Marko Robnik- Šikonja, Igor Kononenko, " Theoretical and Empirical Analysis of ReliefF and RReliefF", Machine Learning Journal (2003) 53:23-69
    • (2003) Machine Learning Journal , vol.53 , pp. 23-69
    • Robnik, M.1    Šikonja, I.K.2
  • 20
    • 34147099073 scopus 로고    scopus 로고
    • Survey of network based defense mechanism countering the DOS and DDOS problem
    • article, Apr
    • T Peng, C Leckie, K Ramamohana rao 2007, "Survey of network based defense mechanism countering the DOS and DDOS problem", ACM Computing surveys, vol 39, no1, article 3 (Apr 2007)
    • (2007) ACM Computing surveys , vol.39 , Issue.NO1 , pp. 3
    • Peng, T.1    Leckie, C.2    Ramamohana rao, K.3
  • 22
    • 0007473204 scopus 로고    scopus 로고
    • An Introduction to Intrusion Detection
    • April
    • A Sundaram, "An Introduction to Intrusion Detection", ACM Cross Roads, Vol. 2, No. 4, April 1996
    • (1996) ACM Cross Roads , vol.2 , Issue.4
    • Sundaram, A.1
  • 23
    • 0037105910 scopus 로고    scopus 로고
    • Intrusion Detection Techniques and Approaches
    • September
    • R Verwoerd and R Hunt, "Intrusion Detection Techniques and Approaches" Computer Communications, 25(15):1356-1365, September 2002
    • (2002) Computer Communications , vol.25 , Issue.15 , pp. 1356-1365
    • Verwoerd, R.1    Hunt, R.2
  • 27
    • 63049084921 scopus 로고    scopus 로고
    • W?odzis?aw, W. Tomasz, B. Jacek and K. Adam, Feature Selection and Ranking Filters, 2003,
    • W?odzis?aw, W. Tomasz, B. Jacek and K. Adam, "Feature Selection and Ranking Filters", 2003,
  • 28
    • 63049099339 scopus 로고    scopus 로고
    • Weka Machine Learning Project
    • "Weka Machine Learning Project".


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.