A Visualization Tool for Exploring Multi-scale Network Traffic Anomalies
Since anomaly detection in Internet traffic is a crucial and unmet challenge, many anomaly detectors for backbone traffic have recently been proposed. However, evaluating anomaly detectors is a complicated task due to the lack of ground truth data. The authors' goal is to provide a good level of support for rapidly understanding traffic behaviors and assisting researchers in evaluating the effectiveness of anomaly detectors. This paper presents an interactive tool that takes advantage of several graphical representations highlighting the different aspects of network traffic and anomalies.