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 - Cyber Security)

M. Conti – Mentor (TU Delft - Cyber Security)

Julián Urbano – Graduation committee member (TU Delft - Multimedia Computing)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Dylan Durand
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Dylan Durand
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
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

Research_Paper_final_3.pdf
(pdf | 0.538 Mb)
License info not available