Method of P2P Application Identification Based on Port Features

To make the network administrators to monitor and manage P2P traffic data efficiently, a port feature based P2P application identification method was proposed, following with the analysis of behavioral characteristics of diverse P2P applications. In the proposed method, both of the packet length and the distribution of packet size with respect to each UDP port were employed to form a vector for each P2P application, and then the work of P2P application identification could be done effectively by a machine learning method, i. e., support vector machine. Results show that the proposed method can distinguish the different P2P applications effectively, especially for the video applications which can be achieved for a precision of 99. 91%.