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- W2246348251 abstract "In this paper we develop network traffic classification and anomaly detection methods based on traffic time series analysis using fuzzy clustering technique. The effectiveness of fuzzy and possibilistic algorithms is compared on generated traffic data with and without traffic attack components." @default.
- W2246348251 created "2016-06-24" @default.
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- W2246348251 date "2015-08-01" @default.
- W2246348251 modified "2023-09-26" @default.
- W2246348251 title "Network traffic classification for anomaly detection fuzzy clustering based approach" @default.
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- W2246348251 doi "https://doi.org/10.1109/fskd.2015.7381960" @default.
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