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

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.