Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Optimization of DDoS Mitigation Rule Inference
Carasec, Elena ; Grégr, Matěj (oponent) ; Žádník, Martin (vedoucí práce)
This thesis discusses the possibility of using machine learning algorithms for DDoS protection. For classical and incremental (online) learning are considered explainable supervised learning methods, particularly decision trees. Furthermore, some possible optimisations are introduced to increase traffic classification accuracy and decrease the amount of blocked legitimate traffic.
Optimization of DDoS Mitigation Rule Inference
Carasec, Elena ; Grégr, Matěj (oponent) ; Žádník, Martin (vedoucí práce)
This thesis discusses the possibility of using machine learning algorithms for DDoS protection. For classical and incremental (online) learning are considered explainable supervised learning methods, particularly decision trees. Furthermore, some possible optimisations are introduced to increase traffic classification accuracy and decrease the amount of blocked legitimate traffic.

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