Peer-to-Peer File Sharing Communication Detection Using Spherical SOM Visualization for Network Management

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 traffic features from captured IP packets that the users communicated. And this system extracts the appearance ratio of DNS host query. These extracts data are processed by MapReduce method for high-speed sorting and calculation. Afterwards this system creates traffic model. These features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by High Speed Spherical Self-Organizing Map. This feature map shows network traffic behavior related with P2P file sharing communication like a birds-eye view. As a result, we think we can assist the monitoring operation and network administration.