Visualization of IDS data by HeiankyoView: 2nd report

نویسندگان

  • Takayuki ITOH
  • Hiroki TAKAKURA
  • Atsushi SAWADA
  • Koji KOYAMADA
چکیده

IDS (Intrusion Detection System) is an active research topic for the purpose of cost reduction of security maintenance of computer network. However, existing IDS technologies still have some issues, including enormous log output data, and lack of analysis technologies of complicated behavior of recent intrusions. We proposed a visualization of IDS data, which constructs hierarchical data according to IP addresses of computers in a target network, and visualizes the data by HeiankyoView. This report presents an extension of the visualization which shows some interesting intrusion behavior. The extension highlights computers which are artificially attacked or seriously damaged. Also, the extension provides a function to represent lines connecting pairs of computers which are senders and receivers of intrusions.

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تاریخ انتشار 2004