Designing of traffic mining system that detects an abnormal behavior in the school networking

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Any longer, we cannot overlook the problem that the Peer-to-Peer(P2P) file-sharing software causes. The school staff prohibits the use of the P2P software at a lot of schools. However, it is difficult to limit the P2P software use. The load of the network administrator increases. In this research, we aim at the administrator's support for the anomaly detection on the network. We developed the traffic-mining tool that can visualize the traffic status concretely, and verified the effectiveness.