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Vol. 22, No. 3, pp. 545-552,
6월.
2012
10.13089/JKIISC.2012.22.3.545, Full Text:
Keywords: Intrusion Detection System, Machine Learning, clustering
Abstract Statistics
Cite this article
10.13089/JKIISC.2012.22.3.545, Full Text:
Keywords: Intrusion Detection System, Machine Learning, clustering
Abstract Statistics
Cite this article
[IEEE Style]
H. Lee, E. Park, J. Seo, "A New Method to Detect Anomalous State of Network using Information of Clusters," Journal of The Korea Institute of Information Security and Cryptology, vol. 22, no. 3, pp. 545-552, 2012. DOI: 10.13089/JKIISC.2012.22.3.545.
[ACM Style]
Ho-Sub Lee, Eung-Ki Park, and Jung-Taek Seo. 2012. A New Method to Detect Anomalous State of Network using Information of Clusters. Journal of The Korea Institute of Information Security and Cryptology, 22, 3, (2012), 545-552. DOI: 10.13089/JKIISC.2012.22.3.545.