Parameterizable decision tree classifier on NETFPGA
Machine learning approaches based on decision trees (DTs) have been proposed for classifying networking traffic. Although this technique has been proven to have the ability to classify encrypted and unknown traffic, the software implementation of DT cannot cope with the current speed of packet traff...
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主要な著者: | , , , |
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フォーマット: | Conference or Workshop Item |
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2013
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/51233/ http://dx.doi.org/10.1007/978-3-642-32063-7_14 |
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