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Methods for Network Traffic Classification
Jacko, Michal ; Ovšonka, Daniel (referee) ; Barabas, Maroš (advisor)
This paper deals with a problem of detection of network traffic anomaly and classification of network flows. Based on existing methods, paper describes proposal and implementaion of a tool, which can automatically classify network flows. The tool uses CUDA platform for network data processing and computation of network flow metrics using graphics processing unit. Processed flows are subsequently classified by proposed methods for network anomaly detection.
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Methods for Network Traffic Classification
Jacko, Michal ; Ovšonka, Daniel (referee) ; Barabas, Maroš (advisor)
This paper deals with a problem of detection of network traffic anomaly and classification of network flows. Based on existing methods, paper describes proposal and implementaion of a tool, which can automatically classify network flows. The tool uses CUDA platform for network data processing and computation of network flow metrics using graphics processing unit. Processed flows are subsequently classified by proposed methods for network anomaly detection.
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