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Volumn , Issue , 2013, Pages

Network traffic anomaly detection based on growing hierarchical SOM

Author keywords

Data Classification; Data Clustering; Network anomaly detection; Neural networks; Visualization

Indexed keywords

CLASSIFICATION RULES; DATA CLASSIFICATION; DATA CLUSTERING; DESCRIPTIVE INFORMATION; GEOMETRIC DISTANCES; GROWING HIERARCHICAL SELF-ORGANIZING MAPS; NETWORK ANOMALY DETECTION; UNSUPERVISED LEARNING METHOD;

EID: 84883398149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2013.6575338     Document Type: Conference Paper
Times cited : (28)

References (6)
  • 1
    • 0036826330 scopus 로고    scopus 로고
    • Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
    • M. Dittenbach, A. Rauber, and D. Merkl, Uncovering hierarchical structure in data using the growing hierarchical self-organizing map, Neurocomputing, vol. 48, no. 1-4, pp. 199-216, 2002.
    • (2002) Neurocomputing , vol.48 , Issue.1-4 , pp. 199-216
    • Dittenbach, M.1    Rauber, A.2    Merkl, D.3
  • 2
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen, Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol. 43, pp. 59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 3
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Berkeley, University of California Press
    • J. B. MacQueen, Some methods for classification and analysis of Multivariate Observations, Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, vol. 1, pp. 281-297, 1967.
    • (1967) Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 4
    • 84861766306 scopus 로고    scopus 로고
    • Application of growing hierarchical SOM for visualisation of network forensics traffic data
    • E. J. Palomo, J. North, D. Elizondo, R.M. Luque, and T. Watson, Application of growing hierarchical SOM for visualisation of network forensics traffic data, Neural Networks, vol. 32, pp. 275-284, 2012.
    • (2012) Neural Networks , vol.32 , pp. 275-284
    • Palomo, E.J.1    North, J.2    Elizondo, D.3    Luque, R.M.4    Watson, T.5
  • 5
    • 77955430292 scopus 로고    scopus 로고
    • A preliminary two-stage alarm correlation and filtering system using SOM neural network and K-means algorithm
    • G. C. Tjhai, S. M. Furnell, M. Papadaki, and Na. L. Clarke, A preliminary two-stage alarm correlation and filtering system using SOM neural network and K-means algorithm, Computers & Security, vol. 29, no. 6, pp. 712-723, 2010.
    • (2010) Computers & Security , vol.29 , Issue.6 , pp. 712-723
    • Tjhai, G.C.1    Furnell, S.M.2    Papadaki, M.3    Clarke, N.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.