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Inference of DDoS Mitigation Rules
Belko, Erik ; Tisovčík, Peter (oponent) ; Žádník, Martin (vedoucí práce)
This thesis deals with DDoS attacks, their specific types and ways of mitigating them. The aim of the thesis is to propose a method for inferring a pattern from a packet payload for subsequent DDoS attack mitigation and implement it. The chosen method uses the partitioning of the packet payload into N-grams to infer the pattern. The method utilizes samples with data captured during legitimate traffic and during a DDoS attack. Other proposed methods are also described in the thesis and experiments are performed with the selected method over data of different sizes.

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