| Publisher | Association for Computing Machinery | ||
|---|---|---|---|
| Format | 269.4KB PDF | Date added | 15 Sep 2006 |
| Topics | Load Balancing, Scalability, Intrusion Detection Systems | ||
| Downloads | 9 | ||
Traffic anomalies and distributed attacks are commonplace in today's networks. Single point detection is often insufficient to determine the causes, patterns and prevalence of such events. Most existing Distributed Intrusion Detection Systems (DIDS) rely on centralized fusion, or distributed fusion with unscalable communication mechanisms. This paper proposes to build a DIDS based on the emerging decentralized location and routing infrastructure: Distributed Hash Table (DHT). The paper embeds the intrusion symptoms into the DHT dimensions so that alarms related to the same intrusion (thus with similar symptoms) will be routed to the same Sensor Fusion Center (SFC) while evenly distributing unrelated alarms to different SFCs.
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