Collaborative approach to network behaviour analysis based on hardware-accelerated FlowMon probes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00035628" target="_blank" >RIV/00216224:14330/09:00035628 - isvavai.cz</a>
Alternative codes found
RIV/63839172:_____/09:00001149
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Collaborative approach to network behaviour analysis based on hardware-accelerated FlowMon probes
Original language description
Network behaviour analysis techniques are designed to detect intrusions and other undesirable behaviour in computer networks by analysing the traffic statistics. We present an efficient framework for integration of anomaly detection algorithms working onthe identical input data. This framework is based on high-speed network traffic acquisition subsystem and on trust modelling, a well-established set of techniques from the multi-agent system field. Trust-based integration of algorithms results in classification with lower error rate, especially in terms of false positives. The presented system is suitable for both online and offline processing, and introduces a relatively low computational overhead compared to deployment of isolated anomaly detection algorithms.
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
IN - Informatics
OECD FORD branch
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Electronic Security and Digital Forensics
ISSN
1751-911X
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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