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Supporting Intrusion Detection by Graph Clustering and Graph Drawing

This paper presents a description of a system supporting the detection of intrusions and network anomalies by analyzing and visualising traffic flows in computer networks. The system supervises the typical communication structure in the network and acts as an anomaly detection component of an Intrusion Detection System. Events are generated in the case of sudden variations of the traffic structure. Visualization of the traffic structure is used to help the security manager to gain an overview on the current traffic structure and to help identifying the type and the location of network anomalies.