Network traffic anomaly detection methods can detect that is significantly different from normal by analyzing network traffic, and are seen as an effective means to unknown new attacks because they do not rely on static feature codes. However, most of the current have low accuracy high false alarm rate. In this paper, OS-ELM (Online Sequential Extreme Learning Machine) method proposed. First, w...