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Volumn 2, Issue , 2009, Pages 144-147

Intrusion detection model based on hierarchical fuzzy inference system

Author keywords

Fuzzy inference; Fuzzy logic; Intrusion detection; Neural network

Indexed keywords

ANOMALY DETECTION; DATA SETS; FEATURE SPACE; FUZZY C-MEANS CLUSTERING ALGORITHMS; HIERARCHICAL FUZZY; INTELLIGENT METHOD; INTRUSION DETECTION MODELS; INTRUSION DETECTION SYSTEMS; NETWORK ATTACK; NEURO-FUZZY; NEURO-FUZZY INFERENCE SYSTEMS; PRE-PROCESSED DATA; SOFTCOMPUTING TECHNIQUES; SYSTEM DEVELOPMENT;

EID: 70449481775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIC.2009.145     Document Type: Conference Paper
Times cited : (12)

References (11)
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  • 5
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    • (2000)
    • Salvatore, J.1    Stolfo2    Fan, W.3    Lee, W.4    Prodromidis, A.5    PHILIP, K.6    Chan7
  • 6
    • 33749058745 scopus 로고    scopus 로고
    • C. Xiang, S.M. Lim. Design of multiple-level hybrid classifier for intrusion detection system. In: Proceedings of the IEEE Workshop Machine Learning for Signal Processing, September 2005, pp. 117-122.
    • C. Xiang, S.M. Lim. "Design of multiple-level hybrid classifier for intrusion detection system". In: Proceedings of the IEEE Workshop Machine Learning for Signal Processing, September 2005, pp. 117-122.
  • 7
    • 70449502511 scopus 로고    scopus 로고
    • R. Agarwal, M.V. Joshi, PNrule: A New Framework for Learning Classifier Models in Data Mining, Department of Computer Science, University of Minnesota, Report No. RC-21719, 2000.
    • R. Agarwal, M.V. Joshi, PNrule: "A New Framework for Learning Classifier Models in Data Mining", Department of Computer Science, University of Minnesota, Report No. RC-21719, 2000.
  • 9
    • 33847406678 scopus 로고    scopus 로고
    • A hierarchical intrusion detection model based on the PCA neural networks
    • G.S. Liu, Z. Yi, S.M. Yang. "A hierarchical intrusion detection model based on the PCA neural networks", Neurocomputing 70 (2007) 1561-1568.
    • (2007) Neurocomputing , vol.70 , pp. 1561-1568
    • Liu, G.S.1    Yi, Z.2    Yang, S.M.3
  • 10
    • 34447639073 scopus 로고    scopus 로고
    • A new approach to intrusion detection based on an evolutionary soft computing model using neuro-fuzzy classifiers
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    • (2007) Computer communications , vol.30 , pp. 2201-2212
    • Toosi, A.N.1    Kahani, M.2
  • 11
    • 33745768169 scopus 로고    scopus 로고
    • Evolvable-NEURAL-Based Fuzzy Inference System and Its Application for Adaptive Network Anomaly Detection
    • EFIS:, ICMLC, PP
    • M.F. Pasha, R. Budtarto, EFIS: "Evolvable-NEURAL-Based Fuzzy Inference System and Its Application for Adaptive Network Anomaly Detection". in: ICMLC 2005, LNAI 3930. PP. 662-671, 2006.
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    • Pasha, M.F.1    Budtarto, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.