Analysing different Distributed Denial of Service (DDoS) attacks and its solutions in SDN

Bachelor Thesis (2022)
Author(s)

D.R. Durand (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

C. Lal – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M. Conti – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J. Urbano Merino – Graduation committee member (Multimedia Computing)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2022
Language
English
Graduation Date
27-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Software-Defined Networks are an exciting network paradigm that brings many advantages to its users. However, its architecture also makes it vulnerable to attacks. Distributed Denial of Service attacks are one of those attacks that can
exploit the weaknesses of an SDN. This paper explains the weaknesses that can be exploited and the consequences of a DDoS attack. State-of-the-art machine learning and statistical solutions to this problem are presented and evaluated. The
limitations of each solution are analysed, and a new system is proposed that eliminates the mentioned flaws.

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