Detection and mitigation of DDoS attacks using conditional entropy in software-defined networking

Conference paper

Xuanyuan, M., Ramsurrun, V. and Seeam, A. 2020. Detection and mitigation of DDoS attacks using conditional entropy in software-defined networking. 2019 11th International Conference on Advanced Computing (ICoAC). Chennai, India 18 - 20 Dec 2019 pp. 66-71 https://doi.org/10.1109/ICoAC48765.2019.246818
TypeConference paper
TitleDetection and mitigation of DDoS attacks using conditional entropy in software-defined networking
AuthorsXuanyuan, M., Ramsurrun, V. and Seeam, A.
Abstract

Software-defined networking (SDN) is a relatively new technology that promotes network revolution. The most distinct characteristic of SDN is the transformation of control logic from the basic packet forwarding equipment to a centralized management unit called controller. However, the centralized control of the network resources is like a double-edged sword, for it not only brings beneficial features but also introduces single point of failure if the controller is under distributed denial of service (DDoS) attacks. In this paper, we introduce a light-weight approach based on conditional entropy to improve the SDN security with an aim of defending DDoS at the early stage. The experimental results show that the proposed method has a high average detection rate of 99.372%.

Middlesex University ThemeCreativity, Culture & Enterprise
Conference2019 11th International Conference on Advanced Computing (ICoAC)
Page range66-71
Proceedings TitleProceedings of the 11th International Conference on Advanced Computing, ICoAC 2019
Publication dates
Online07 May 2020
Publication process dates
Deposited05 Oct 2022
Accepted01 Dec 2019
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/ICoAC48765.2019.246818
LanguageEnglish
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