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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.
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Automation of DDoS Attack Mitigation
Nagy, Peter ; Podermański, Tomáš (referee) ; Grégr, Matěj (advisor)
The aim of this thesis is automation of DDoS attack mitigation. This thesis provides an overview of GNU/Linux network platforms and different approaches for their configuration. The aim is to select a platform that could be extended to automate DDoS mitigation. DDoS attack types are explained as well. Selected methods for DDoS mitigation are described in more detail such as Remote Triggered Black Hole and BGP Flowspec. Existing tools like DDoS Defender and FastNetMon are used to detect a DDoS attack. NETX was chosen as target implementation platform. To communicate with devices, API or BGP protocol with Flowspec extension are used.
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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.
|
|
|
Automation of DDoS Attack Mitigation
Nagy, Peter ; Podermański, Tomáš (referee) ; Grégr, Matěj (advisor)
The aim of this thesis is automation of DDoS attack mitigation. This thesis provides an overview of GNU/Linux network platforms and different approaches for their configuration. The aim is to select a platform that could be extended to automate DDoS mitigation. DDoS attack types are explained as well. Selected methods for DDoS mitigation are described in more detail such as Remote Triggered Black Hole and BGP Flowspec. Existing tools like DDoS Defender and FastNetMon are used to detect a DDoS attack. NETX was chosen as target implementation platform. To communicate with devices, API or BGP protocol with Flowspec extension are used.
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