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Automated Development of Network Attack Detectors
 Huták, Lukáš ; Kováčik, Michal (referee) ; Žádník, Martin (advisor)
The thesis is focused on automated development of network attack detectors. It describes a design of patterns developed for normal and offensive behaviors based on monitoring network traffic of selected services. Patterns are represented by statistics with a focus on suitable metrics. Using machine learning algorithms attack detectors are created from behavioral patterns. Finally, a module was implemented for Nemea system in C/C++ programming language based on the proposal.
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