메뉴 건너뛰기




Volumn 4318 LNCS, Issue , 2006, Pages 153-167

Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System

Author keywords

Feature selection; Filter; Hybrid; Intrusion detection; Wrapper

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DIGITAL FILTERS; RESEARCH AND DEVELOPMENT MANAGEMENT; RESOURCE ALLOCATION;

EID: 33845998197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11937807_13     Document Type: Conference Paper
Times cited : (133)

References (36)
  • 2
    • 0031334221 scopus 로고    scopus 로고
    • Selection of Relevant Features and Examples in Machine Learning
    • A.L. Blum and P. Langley, "Selection of Relevant Features and Examples in Machine Learning," Artificial Intelligence, vol. 97, pp. 245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 3
    • 33846027856 scopus 로고    scopus 로고
    • Feature Extraction, Construction and Selection: A Data Mining Perspective, H. Liu and H. Motoda, eds. Boston: Kluwer Academic, 1998, second printing, 2001.
    • Feature Extraction, Construction and Selection: A Data Mining Perspective, H. Liu and H. Motoda, eds. Boston: Kluwer Academic, 1998, second printing, 2001.
  • 4
    • 84942785917 scopus 로고    scopus 로고
    • Consistency based feature selection
    • Kyoto, Japan
    • Dash M., Liu H., & Motoda H, "Consistency based feature selection", Proc. of the Fourth PAKDD 2000, Kyoto, Japan, 2000, pp. 98-109.
    • (2000) Proc. of the Fourth PAKDD , pp. 98-109
    • Dash, M.1    Liu, H.2    Motoda, H.3
  • 5
    • 0028496468 scopus 로고
    • Learning Boolean Concepts in the Presence of Many Irrelevant Features
    • H. Almuallim and T.G. Dietterich "Learning Boolean Concepts in the Presence of Many Irrelevant Features", Artificial Intelligence, vol. 69, nos. 1-2, 1994, pp. 279-305.
    • (1994) Artificial Intelligence , vol.69 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 6
    • 0003552733 scopus 로고    scopus 로고
    • An Evaluation of Feature Selection Methods and Their Application to Computer Security
    • Univ. of California at Davis, Dept. Computer Science, 1992
    • J. Doak, "An Evaluation of Feature Selection Methods and Their Application to Computer Security," technical report, Univ. of California at Davis, Dept. Computer Science, 1992.
    • technical report
    • Doak, J.1
  • 7
    • 0017535866 scopus 로고
    • A Branch and Bound Algorithm for Feature Subset Selection
    • Sept
    • P.M. Narendra and K. Fukunaga, "A Branch and Bound Algorithm for Feature Subset Selection," IEEE Trans. Computer, vol. 26, no. 9, pp. 917-922, Sept. 1977
    • (1977) IEEE Trans. Computer , vol.26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 9
    • 0028496468 scopus 로고
    • Learning Boolean Concepts in the Presence of Many Irrelevant Features
    • H. Almuallim and T.G. Dietterich, "Learning Boolean Concepts in the Presence of Many Irrelevant Features," Artificial Intelligence, vol. 69, nos. 1-2, pp. 279-305, 1994.
    • (1994) Artificial Intelligence , vol.69 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 10
    • 70350346892 scopus 로고
    • Pattern Recognition and Reduction of Dimensionality
    • P.R. Krishnaiah and L.N. Kanal, eds, pp, North Holland
    • M. Ben-Bassat, "Pattern Recognition and Reduction of Dimensionality," Handbook of Statistics-II, P.R. Krishnaiah and L.N. Kanal, eds., pp. 773-791, North Holland, 1982.
    • (1982) Handbook of Statistics-II , pp. 773-791
    • Ben-Bassat, M.1
  • 11
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning
    • M.A. Hall, "Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning," Proc. 17th Int'l Conf. Machine Learning, pp. 359-366, 2000.
    • (2000) Proc. 17th Int'l Conf. Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 13
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
    • Morgan Kaufmann Publishers Inc
    • Hall, M.A.: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proc. of the 17th Int. Conf. on Machine Learning. Morgan Kaufmann Publishers Inc. (2000) 359-366
    • (2000) Proc. of the 17th Int. Conf. on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 14
    • 0002593344 scopus 로고
    • Multi-interval discretization of continues attributes as preprocessing for classification learning
    • Morgan Kaufmann Publishers
    • Fayyad, U., Irani, K.: Multi-interval discretization of continues attributes as preprocessing for classification learning. In: Proc. of the 13th Int. Join Conf. on Artificial Intelligence, Morgan Kaufmann Publishers (1993) 1022-1027
    • (1993) Proc. of the 13th Int. Join Conf. on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.1    Irani, K.2
  • 15
    • 33846026345 scopus 로고    scopus 로고
    • Press, W.H., Flannery, B. P., Teukolsky, S. A., Vetterling, W.T.: Numerical recipes in C. Cambridge University Press, Cambridge. (1988)
    • Press, W.H., Flannery, B. P., Teukolsky, S. A., Vetterling, W.T.: Numerical recipes in C. Cambridge University Press, Cambridge. (1988)
  • 16
    • 33846017299 scopus 로고    scopus 로고
    • http://www.cs.waikato.ac.nz/ml/weka/index.html
  • 17
    • 0003463297 scopus 로고
    • University of Michigan Press reprinted in 1992 by MIT Press, Cambridge, MA
    • Holland, J. H. (1975). Adaptation in natural and artificial systems. University of Michigan Press (reprinted in 1992 by MIT Press, Cambridge, MA).
    • (1975) Adaptation in natural and artificial systems
    • Holland, J.H.1
  • 20
    • 58149421595 scopus 로고
    • Analysis of a complex statistical variables into principal components
    • H. Hotelling. Analysis of a complex statistical variables into principal components. Journal of Educational Psychology, 24:417-441, 1933.
    • (1933) Journal of Educational Psychology , vol.24 , pp. 417-441
    • Hotelling, H.1
  • 21
    • 33845997423 scopus 로고    scopus 로고
    • J. R. Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann Publishers, 1993.
    • J. R. Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann Publishers, 1993.
  • 23
    • 0000671231 scopus 로고    scopus 로고
    • Ranking Importance of Input Parameters Of Neural Networks
    • Sung AH (1998) Ranking Importance of Input Parameters Of Neural Networks. Expert Systems with Applications, pp.405-411.
    • (1998) Expert Systems with Applications , pp. 405-411
    • Sung, A.H.1
  • 24
    • 33846023346 scopus 로고    scopus 로고
    • KDD Cup 1999 Data.: http://kdd.ics.uci.edu/databases/kddcup99/kddcup99. html
    • (1999) Data
    • Cup, K.D.D.1
  • 25
    • 84958740656 scopus 로고    scopus 로고
    • Anomaly Detection Enhanced Classification in Computer Intrusion Detection
    • Springer-Verlag, Berlin Heidelberg
    • Fugate, M., Gattiker, J.R.: Anomaly Detection Enhanced Classification in Computer Intrusion Detection. Lecture Notes in Computer Science, Vol. 2388. Springer-Verlag, Berlin Heidelberg (2002)
    • (2002) Lecture Notes in Computer Science , vol.2388
    • Fugate, M.1    Gattiker, J.R.2
  • 27
    • 24944586818 scopus 로고    scopus 로고
    • Network-based Intrusion Detection with Support Vector Machines
    • Springer-Verlag, Berlin Heidelberg
    • Kim, D.S., Park, J.S.: Network-based Intrusion Detection with Support Vector Machines, Lecture Notes in Computer Science, Vol. 2662, Springer-Verlag, Berlin Heidelberg (2003) 747-756
    • (2003) Lecture Notes in Computer Science , vol.2662 , pp. 747-756
    • Kim, D.S.1    Park, J.S.2
  • 28
    • 84943383590 scopus 로고    scopus 로고
    • Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks
    • IEEE Computer Society Press
    • Sung, A.H., Mukkamala, S.: Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. In: Proc. of the 2003 Int. Sym. On Applications and the Internet Technology, IEEE Computer Society Press. (2003) 209-216
    • (2003) Proc. of the 2003 Int. Sym. On Applications and the Internet Technology , pp. 209-216
    • Sung, A.H.1    Mukkamala, S.2
  • 29
    • 33745919801 scopus 로고    scopus 로고
    • Building Lightweight Intrusion Detection System Based on Random Forest.ISNN 2006
    • Dong Seong Kim, Sang Min Lee, and Jong Sou Park:Building Lightweight Intrusion Detection System Based on Random Forest.ISNN 2006, LNCS 3973, pp. 224-230, 2006.
    • (2006) LNCS , vol.3973 , pp. 224-230
    • Seong Kim, D.1    Min Lee, S.2    Sou Park, J.3
  • 30
    • 0035478854 scopus 로고    scopus 로고
    • Random forest
    • Breiman, L.: Random forest. Machine Learning 45(1) (2001) 5-32
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 32
    • 24944485860 scopus 로고    scopus 로고
    • Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System
    • Wang J, Liao, X, Yi, Z, eds, Advances in Neural Networks, Springer-Verlag, Berlin Heidelberg New York
    • Kim, D., Nguyen, H.-N., Ohn, S.-Y., Park, J.: Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System. In.: Wang J., Liao, X., Yi, Z. (eds.): Advances in Neural Networks. Lecture Notes in Computer Science, Vol. 3498. Springer-Verlag, Berlin Heidelberg New York (2005) 415-420
    • (2005) Lecture Notes in Computer Science , vol.3498 , pp. 415-420
    • Kim, D.1    Nguyen, H.-N.2    Ohn, S.-Y.3    Park, J.4
  • 33
    • 33845998534 scopus 로고    scopus 로고
    • T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. Springer, 2001. L. Yu and H. Liu, Feature Selection for High-Dimensional Data:
    • T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. Springer, 2001. L. Yu and H. Liu, "Feature Selection for High-Dimensional Data:
  • 34
    • 33846009796 scopus 로고    scopus 로고
    • A Fast Correlation-Based Filter Solution
    • A Fast Correlation-Based Filter Solution," Proc. 20th Int'l Conf. Machine Learning, pp. 856-863, 2003.
    • (2003) Proc. 20th Int'l Conf. Machine Learning , pp. 856-863
  • 35
    • 17044405923 scopus 로고    scopus 로고
    • Towards integrating feature selection algorithms for classification and clustering
    • H. Liu and L. Yu. Towards integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering, 17(3):1-12, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.3 , pp. 1-12
    • Liu, H.1    Yu, L.2
  • 36
    • 33744922954 scopus 로고    scopus 로고
    • Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection
    • Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim: Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection. CISC 2005: Vol. 3822, pp. 279-289.
    • (2005) CISC , vol.3822 , pp. 279-289
    • Sou Park, J.1    Mohammad Shazzad, K.2    Seong Kim, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.