Peer-to-Peer File Sharing Communication Detection System Using Network Traffic Mining

In this research, we have built a system for network administrators that visualize the Peer-to-Peer (P2P) file sharing activities of network users. This system monitors network traffic and discerns traffic features using traffic mining. This system visualizes the P2P file sharing traffic activities of an organization by making the processing object not an individual user but a user group. The network administrator can comprehend the P2P sharing activities of the organization by referring to the map. This system extracts a traffic feature from captured IP packets that the users communicated. Afterwards this system creates a traffic model. The features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by a Self-Organizing Map. The network administrator is assisted in understanding users’ P2P file sharing communication behavior by this feature map. The administrator can then respond to the situation. As a result, we think we can assist the monitoring operation and network administration.