A New Model for P2P Traffic Identification Based on DPI and DFI
Hongwei Chen, Zhengbing Hu, Zhiwei Ye, Wei Liu · 2009
Accurate identification of P2P traffic makes great sense for efficient network management and reasonable utility of network resources. P2P traffic identification has two promising approaches: DPI (deep packet inspection) and DFI (deep flow inspection). The purpose of the paper is to solve how to carry out research on how to take advantage of merits of these methods, avoid their defects, and assemble the two methods as a whole. The paper brings forward a new model for P2P traffic identification based on DPI and DFI. This model puts DPI method and DFI method together to recognize P2P traffic. The model comprises five parts: traffic collect module, DPI module, DFI module, coordinated module between DPI and DFI, and evaluation module. DPI and DFI work together in this model not only enhance identification veracity of P2P traffic, but also expand identification extend of P2P traffic effectively.