Adaptive Multi-Agent System for Network Traffic Monitoring

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158346" target="_blank" >RIV/68407700:21230/09:00158346 - isvavai.cz</a>
Alternative codes found
RIV/63839172:_____/09:00006680 RIV/00216224:14610/09:00042538
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Adaptive Multi-Agent System for Network Traffic Monitoring
Original language description
We present an application of agent-based data mining for a near-real time detection of attacks against the computer networks and connected hosts. The presented system processes the statistics of network traffic provided by high-speed network monitoring cards and uses 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. Based on the agent-based trust modeling technique, our system fuses the data provided by snímaly 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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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