An IDS Visualization System for Anomalous Warning Events

Intrusion Detection System(IDS) has received attention to deal with the illegal access to the network. However, IDS has a critical problem which outputs a tremendous number of logs. Analyzing these logs apply a large amount of load to a network manager. In this paper, we propose a novel visualization system of IDS considering order relation of IP addresses that emphasize the anomalous warning events based on past tendency.