| Publisher | Masaryk University | ||
|---|---|---|---|
| Format | 119.2KB PDF | Date added | 17 Aug 2007 |
| Topics | Network Security, Security Tools, Intrusion Detection Systems | ||
| Downloads | 52 | ||
The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on high-speed network links. The proposed detection algorithm is based on extension of trust modeling techniques with representation of uncertain identities, context representation and implicit assumption that significant traffic anomalies are a result of potentially malicious action. The heterogeneous anomaly detection methods are used by cooperating agents and then correlated using a reputation mechanism. To satisfy the performance requirements, wire-speed data acquisition layer is based on hardware-accelerated Net-Flow probes that provide overview of current network traffic. The output of multi-agent detection layer is presented to operator by a dedicated analyst interface agent, which retrieves additional information to facilitate incident analysis.
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