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Volumn 2006, Issue , 2006, Pages 3563-3567

Identifying important features for intrusion detection using Discriminant Analysis and Support Vector Machine

Author keywords

Discriminant Analysis; Feature selection; Network intrusion detection; Support Vector Machine

Indexed keywords

DISCRIMINANT ANALYSIS; INTRUSION DETECTION; SET THEORY; SUPPORT VECTOR MACHINES;

EID: 33947206215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258571     Document Type: Conference Paper
Times cited : (7)

References (16)
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    • Cherkassky, V.1
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  • 7
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    • Identifying important features for intrusion detection using support vector machines and neural networks
    • Jan
    • A.H. Sung, S. Mukkamala, "Identifying important features for intrusion detection using support vector machines and neural networks", Proceedings of Application and the Internet, pp. 209-216, Jan. 2003.
    • (2003) Proceedings of Application and the Internet , pp. 209-216
    • Sung, A.H.1    Mukkamala, S.2
  • 9
    • 19944364877 scopus 로고    scopus 로고
    • Feature deduction and ensemble design of intrusion detection systems
    • June
    • S. Chebrolu, A. Abraham, J.P. Thomas, "Feature deduction and ensemble design of intrusion detection systems", Computers & Security, Vol. 4, Issue 4, pp. 295-307, June 2005.
    • (2005) Computers & Security , vol.4 , Issue.4 , pp. 295-307
    • Chebrolu, S.1    Abraham, A.2    Thomas, J.P.3
  • 11
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  • 15
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    • http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.