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

Xuanyuan, M., Ramsurrun, Visham and Seeam, Amar ORCID logoORCID: https://orcid.org/0000-0001-8203-1545 (2020) Detection and mitigation of DDoS attacks using conditional entropy in software-defined networking. In: 2019 11th International Conference on Advanced Computing (ICoAC), 18-20 December 2019, Chennai, India. . [Conference or Workshop Item] (doi:10.1109/ICoAC48765.2019.246818)

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%.

Item Type: Conference or Workshop Item (Paper)
Theme:
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 36108
Depositing User: Amar Kumar Seeam
Date Deposited: 05 Oct 2022 11:18
Last Modified: 05 Oct 2022 11:19
URI: https://eprints.mdx.ac.uk/id/eprint/36108

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