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Volumn 3, Issue 3, 2008, Pages 135-141

Protocol-based classification for intrusion detection

Author keywords

Intrusion detection; Logistic regression; Protocol; Support vector machine

Indexed keywords

BENCHMARK DATASETS; FEATURE SELECTION METHODS; FEATURE SETS; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS; NETWORK INTRUSION DETECTION SYSTEMS; PROTOCOL; TIME EFFICIENCIES;

EID: 59249087664     PISSN: 19918755     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (13)
  • 5
    • 33947206215 scopus 로고    scopus 로고
    • Identifying Important Features For Intrusion Detection Using, Discriminant Analysis And Support Vector Machine
    • Wong, W. T., and Lai, Y. C., 2006, "Identifying Important Features For Intrusion Detection Using, Discriminant Analysis And Support Vector Machine," International Conference of Machine Learning and Cybernetics, Vol. 6, pp. 3563-3567.
    • (2006) International Conference of Machine Learning and Cybernetics , vol.6 , pp. 3563-3567
    • Wong, W.T.1    Lai, Y.C.2
  • 6
    • 34249753618 scopus 로고
    • Support-Vector networks
    • Cortes, C., and Vapnik, V., 1995, "Support-Vector networks," Machine learning, Vol. 20, pp. 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 85156255820 scopus 로고    scopus 로고
    • Adaptive scaling for feature selection in SVMs
    • Grandvalet, Y., and Canu, S., 2002, "Adaptive scaling for feature selection in SVMs," Neural Information Processing System, Vol. 15, pp. 553-560.
    • (2002) Neural Information Processing System , vol.15 , pp. 553-560
    • Grandvalet, Y.1    Canu, S.2
  • 10
    • 0141522774 scopus 로고    scopus 로고
    • Multi class support vector machine implementation to intrusion detection
    • January 27
    • Ambwani, T., 2003, "Multi class support vector machine implementation to intrusion detection," Proceedings of the International Joint Conference of Neural Networks, vol. 3, pp. 2300-2305, January 27.
    • (2003) Proceedings of The International Joint Conference of Neural Networks , vol.3 , pp. 2300-2305
    • Ambwani, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.