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Volumn 2, Issue , 2009, Pages 1205-1209

Research on intrusion detection of SVM based on PSO

Author keywords

Intrusion detection; Parameter optimization; Particle swarm optimization algorithm; Support vector machine

Indexed keywords

FALSE NEGATIVES; FALSE POSITIVE; ID-BASED; IN-NETWORK; INTRUSION DETECTION SYSTEMS; NEW DESIGN; OPTIMAL PARAMETER SELECTION; OPTIMAL SELECTION; PARAMETER OPTIMIZATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; RADIAL BASIS FUNCTIONS;

EID: 70350712577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212467     Document Type: Conference Paper
Times cited : (9)

References (11)
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    • Lin, K.-M.1    Kao, W.2    Sun, C.L.3
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    • lao guo ling, "Network Security and Management.[M]". beijing: Higher Education Press,2003.
  • 6
    • 4644290661 scopus 로고    scopus 로고
    • Training algorithms for fuzzy support vector machines with noisy data [M]
    • C. -F. Lin,S. -D. Wang; "Training algorithms for fuzzy support vector machines with noisy data [M]", Pattern Recognition Letters; 2004.
    • (2004) Pattern Recognition Letters
    • Lin, C.-F.1    Wang, S.-D.2
  • 7
    • 49649111401 scopus 로고    scopus 로고
    • Lie feng Bo, Ling Wang, and Li cheng Jiao. Training hard margin support vector machine using greedy stagewise algorithm. IEEE Transactions on Neural Networks, 19, No. 8, 2008
    • Lie feng Bo, Ling Wang, and Li cheng Jiao. "Training hard margin support vector machine using greedy stagewise algorithm". IEEE Transactions on Neural Networks, Vol. 19, No. 8, 2008
  • 8
    • 70350744337 scopus 로고    scopus 로고
    • Prediction of Subcellular Location for Apoptosis Protein by Dual-layer Support Vector Machine Based on Multiple Compositons
    • Xi-Bin Zhou, Chao Chen, Zhan-Chao Li, Xiao-Yong Zou*. "Prediction of Subcellular Location for Apoptosis Protein by Dual-layer Support Vector Machine Based on Multiple Compositons". IEEE, 2007.
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    • Zhou, X.-B.1    Chen, C.2    Li, Z.-C.3    Zou*, X.-Y.4
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    • Advanced support vector machines and kernel methods
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    • selection in particle swarm optimization [M]; Proceedings of International Conference on Machine Learning and Cybernetics; 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.