Adaptive Multiagent System for Network Traffic Monitoring
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Periodical |
| Magazine / Source | IEEE Intelligent Systems |
| MU Faculty or unit | |
| Citation | |
| Web | http://www2.computer.org/portal/web/csdl/doi/10.1109/MIS.2009.42 |
| Field | Informatics |
| Keywords | network intrusion detection; data mining; multiagent systems; trust |
| Description | An application of agent-based data mining for near-real time detection of attacks against the computer networks and connected hosts is based on processing network traffic statistics provided by high-speed network monitoring cards and using a set of known anomaly-detection techniques to identify the anomalous behavior. The individual anomaly-detection methods have relatively high error rates that make them unfit for most practical deployments. Using the agent-based trust modeling technique, the Camnep system fuses the data provided by anomaly-detection methods and progressively builds a better classification with an acceptable error rate. The system uses agent-based self-adaptation techniques to dynamically align its structure with the changes in network traffic structure and attacks. |
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