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Volumn , Issue , 2009, Pages 1091-1095

Machine learning techniques for feature reduction in intrusion detection systems: A comparison

Author keywords

Decision tree; Flexible neural tree; Intrusion detection system; Particle swarm optimization

Indexed keywords

BENCHMARK DATASETS; FEATURE REDUCTION; FEATURE SELECTION; FEATURE SELECTION METHODS; FLEXIBLE NEURAL TREES; INTRUSION DETECTION SYSTEM; INTRUSION DETECTION SYSTEMS; MACHINE LEARNING TECHNIQUES; TRAINING DATA;

EID: 77749345842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIT.2009.89     Document Type: Conference Paper
Times cited : (22)

References (8)
  • 2
    • 57849121556 scopus 로고    scopus 로고
    • A Secure and Efficient Model for Network Defensive Systems
    • Dec, Taiwan
    • H. Lin, C. Jiang, H. Huang, "A Secure and Efficient Model for Network Defensive Systems", ICS Dec 2006, Taiwan.
    • (2006) ICS
    • Lin, H.1    Jiang, C.2    Huang, H.3
  • 3
    • 85084160308 scopus 로고    scopus 로고
    • Study in Using Neural Networks for Anomaly and Misuse Detection
    • August, Washington, D.C
    • K.Anup Ghosh et.al, "Study in Using Neural Networks for Anomaly and Misuse Detection", Proceedings of the 8th SENIX Security Symposium, pp 131-142, August 1999, Washington, D.C.
    • (1999) Proceedings of the 8th SENIX Security Symposium , pp. 131-142
    • Anup Ghosh, K.1
  • 4
    • 38049043908 scopus 로고    scopus 로고
    • Comparison of two feature selection methods in Intrusion Detection Systems, Seventh International Proceedings of the 7th IEEE International Conference on Computer and Information Technology, pp. 83-86 , 2007.
    • "Comparison of two feature selection methods in Intrusion Detection Systems," Seventh International Proceedings of the 7th IEEE International Conference on Computer and Information Technology, pp. 83-86 , 2007.
  • 5
    • 77749339541 scopus 로고    scopus 로고
    • http://wgbis.ces.iisc.ernet.in/energy/water/paper/TR-111/chapter3.htm
  • 6
    • 24944552355 scopus 로고    scopus 로고
    • Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
    • Y. Chen, A. Abraham, and J. Yang, "Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree," Lecture Notes in Computer Science, vol. 3498, pp. 439-444, 2005.
    • (2005) Lecture Notes in Computer Science , vol.3498 , pp. 439-444
    • Chen, Y.1    Abraham, A.2    Yang, J.3
  • 7
    • 77749342382 scopus 로고    scopus 로고
    • Lincoln Laboratory, Massachusetts Institute of Technology (MIT), 1998-2000. DARPA Intrusion Detection Evaluation. The UCI KDD Archive [http://kdd.ics.uci.edu].
    • Lincoln Laboratory, Massachusetts Institute of Technology (MIT), 1998-2000. DARPA Intrusion Detection Evaluation. The UCI KDD Archive [http://kdd.ics.uci.edu].
  • 8
    • 77749325621 scopus 로고    scopus 로고
    • KDD cup 99
    • KDD cup 99, http://kdd.ics.uci.edu/database/kddcup99/kddcup.data 10 percent.gz


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.