Collaborative Attack Detection in High-Speed Networks

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Collaborative Attack Detection in High-Speed Networks
We present a multi-agent system designed to detect malicious traffic in high-speed networks. In order to match the performance requirements related to the traffic volume, the network traffic data is acquired by hardware accelerated probes in NetFlow format and preprocessed before processing by the detection agent. 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. In order to model the traffic, each of the cooperating agents uses an existing anomaly detection method, that are then correlated using a reputation mechanism. The output of the detection layer is presented to operator by a dedicated analyst interface agent, which retrieves additional information to facilitate incident analysis. Our performance results illustrate the potential of the combination of high-speed hardware...
Martin Rehák, Michal Pechoucek, Pavel Celed
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Authors Martin Rehák, Michal Pechoucek, Pavel Celeda, Vojtech Krmicek, Pavel Minarík, David Medvigy
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