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Volumn 1, Issue , 2010, Pages 97-101

A model based on hybrid support vector machine and self-organizing map for anomaly detection

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; DATA SETS; HIGH DETECTION RATE; HYBRID SUPPORT; MODEL-BASED; ONE CLASS-SVM; PACKET FILTERING;

EID: 77954024153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMC.2010.9     Document Type: Conference Paper
Times cited : (9)

References (11)
  • 1
    • 25844491810 scopus 로고    scopus 로고
    • An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
    • Nov.
    • O. Depren, M. Topallar, E. Anarim, and M. K. Ciliz, "An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks," Expert Systems with Applications, Nov. 2005, vol.29, pp. 713-722
    • (2005) Expert Systems with Applications , vol.29 , pp. 713-722
    • Depren, O.1    Topallar, M.2    Anarim, E.3    Ciliz, M.K.4
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • J. C. Christopher, Burges. "A tutorial on support vector machines for pattern recognition," Data Mining Knowledge Discovery, 1998, vol.2, pp 121-167
    • (1998) Data Mining Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, J.C.C.1
  • 4
    • 61749083929 scopus 로고    scopus 로고
    • McPAD: A multiple classifier system for accurate payloadbased anomaly detection
    • April
    • R. Perdisci, D. Ariu, P. Fogla, G. Giacinto, W Lee, "McPAD: A multiple classifier system for accurate payloadbased anomaly detection," Computer Networks, April. 2009, vol.53, pp. 864-881
    • (2009) Computer Networks , vol.53 , pp. 864-881
    • Perdisci, R.1    Ariu, D.2    Fogla, P.3    Giacinto, G.4    Lee, W.5
  • 5
    • 60349101742 scopus 로고    scopus 로고
    • Using an ensemble of one-class SVM classifiers to harden payload-based anomaly detection systems
    • R. Perdisci, G. F. Gu, and W. Lee, "Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems," in Proc. Sixth International Conference on Data Mining, 2006, p. 488-498.
    • (2006) Proc. Sixth International Conference on Data Mining , pp. 488-498
    • Perdisci, R.1    Gu, G.F.2    Lee, W.3
  • 8
    • 44949222714 scopus 로고    scopus 로고
    • A hybrid artificial immune system and Self Organizing Map for network intrusion detection
    • August
    • S. T. Powers, and J. He, "A hybrid artificial immune system and Self Organizing Map for network intrusion detection," Information Sciences, vol.178, pp. 3024-3042, August. 2008
    • (2008) Information Sciences , vol.178 , pp. 3024-3042
    • Powers, S.T.1    He, J.2
  • 10
    • 1642337955 scopus 로고    scopus 로고
    • An unsupervised clustering intrusion detection method
    • M. Luo, L. N. Wang, and H. G. Zhang, "An unsupervised clustering intrusion detection method," Chinese journal of electronics, 2003,vol. 31, pp. 1713-1716.
    • (2003) Chinese Journal of Electronics , vol.31 , pp. 1713-1716
    • Luo, M.1    Wang, L.N.2    Zhang, H.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.