Thesis Details

Odvozování pravidel pro mitigaci DDoS útoků

Bachelor's Thesis Student: Jacko Daniel Academic Year: 2020/2021 Supervisor: Žádník Martin, Ing., Ph.D.
English title
Inference of DDoS Mitigation Rules
Language
Czech
Abstract

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.

Keywords

DDoS, mitigation, machine learning, automatization, DDoS Protector, filtration, network, BPF

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
18 June 2021
Reviewer
Tisovčík Peter, Ing.
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
JACKO, Daniel. Odvozování pravidel pro mitigaci DDoS útoků. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-18. Supervised by Žádník Martin. Available from: https://www.fit.vut.cz/study/thesis/23920/
BibTeX 
@bachelorsthesis{FITBT23920,
    author = "Daniel Jacko",
    type = "Bachelor's thesis",
    title = "Odvozov\'{a}n\'{i} pravidel pro mitigaci DDoS \'{u}tok\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23920/"
}

Theses

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