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A technique for visualizing intrusion-detection system log files using hierarchical data based on IP addresses represents the number of incidents for thousands of computers in one display space. Our technique applies a hierarchical data visualization technique that represents leaf nodes as black square icons and branch nodes as rectangular borders enclosing the icons. This representation style visualizes thousands of hierarchical data leaf nodes equally in one display space. We applied the technique to bioactive chemical visualization and job distribution in parallel-computing environments.