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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Inference of DDoS Mitigation Rules
 Jacko, Daniel ; Tisovčík, Peter (referee) ; Žádník, Martin (advisor)
This thesis focuses on DDoS attacks, their types and means of their mitigation. The aim of the thesis is to design and implement an algorithm which would be able to derive rules to block DDoS attacks. For this, we chose the algorithm of machine learning, a decision tree, which starts operating as soon as the attack is detected. The algorithm operates with a sample of data detected during the attack, and with a sample of legitimate communication. A part of this thesis is also a description of a BPF format and an overview of executed experiments.
Detailed record
Inference of DDoS Mitigation Rules
 Jacko, Daniel ; Tisovčík, Peter (referee) ; Žádník, Martin (advisor)
This thesis focuses on DDoS attacks, their types and means of their mitigation. The aim of the thesis is to design and implement an algorithm which would be able to derive rules to block DDoS attacks. For this, we chose the algorithm of machine learning, a decision tree, which starts operating as soon as the attack is detected. The algorithm operates with a sample of data detected during the attack, and with a sample of legitimate communication. A part of this thesis is also a description of a BPF format and an overview of executed experiments.
Detailed record

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