Toward an efficient and scalable feature selection approach for internet traffic classification

@article{Fahad2013TowardAE,
  title={Toward an efficient and scalable feature selection approach for internet traffic classification},
  author={Adil Fahad and Zahir Tari and Ibrahim Khalil and Ibrahim Habib and Hussein M. Alnuweiri},
  journal={Computer Networks},
  year={2013},
  volume={57},
  pages={2040-2057}
}
There is significant interest in the network management and industrial security community about the need to identify the ''best'' and most relevant features for network traffic in order to properly characterize user behaviour and predict future traffic. The ability to eliminate redundant features is an important Machine Learning (ML) task because it helps to identify the best features in order to improve the classification accuracy as well as to reduce the computational complexity related to… CONTINUE READING

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