IP traffic classification based on machine learning

  title={IP traffic classification based on machine learning},
  author={Donghong Qin and Jiahai Yang and Jiamian Wang and Bin Zhang},
  journal={2011 IEEE 13th International Conference on Communication Technology},
With the rapid development of Internet, many network applications (e.g., P2P) use dynamic ports and encryption technology, which makes the traditional port and payload-based classification methods ineffective. Hence, it is important and necessary to find the more effective ones. Currently the machine learning (ML) techniques provide a promising alternative one for IP traffic classification. In this work, we use the ML-based classification method to identify the classes of the unknown flows… CONTINUE READING