A Real-Time Intrusion Detection Security Visualization Framework Based on Planner-Scheduler

  • Authors:
  • Nurbol Luktarhan;Huan Xu;Hao Yang;Fan-er Meng;Liang Hu

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
  • Year:
  • 2009

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Abstract

Most of the existing intrusion detection system security visualization in which alarms are statistically analyzed and their quantity and distribution are usually represented using 2D/3D charts, some studies have shown that intrusion detection scene visualization is perhaps more effective. The contributions of this paper mainly focus on one aspect, we present a realtime intrusion detection security visualization framework based on planner scheduling. This framework provides a new way for users to interact with attack scene-element and real-time rearrangement based on planner-scheduler. Finally, we have built a prototype based on the proposed framework and have discussion.