DDoS attack detection and mitigation in SDN using machine learning

F Khashab, J Moubarak, A Feghali… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
… This paper proposed a model able to detect and mitigate DDoS attacks automatically in SDN
networks using ML. The model collects traffic flow entries from all the switches periodically, …

DDoS attacks detection and mitigation in SDN using machine learning

O Rahman, MAG Quraishi… - 2019 IEEE world congress …, 2019 - ieeexplore.ieee.org
… In this paper, we focus on DDoS detection and mitigation in an SDN network using machine
learning, thus we need to use features that can easily be extracted without overloading the …

A machine learning based detection and mitigation of the DDOS attack by using SDN controller framework

M Revathi, VV Ramalingam, B Amutha - Wireless Personal …, 2022 - Springer
… This paper presents a new way to DDoS attack detection and mitigation. Nevertheless, the
current anomaly detection technologies cannot process and identify network threats in real-…

Enhancing DDoS attack detection and mitigation in SDN using an ensemble online machine learning model

AA Alashhab, MS Zahid, B Isyaku, AA Elnour… - IEEE …, 2024 - ieeexplore.ieee.org
… approaches for detecting and mitigating DDoS attacks in SDN environments. These approaches
employ various machine learning techniques, to enhance the security of SDN networks. …

A DDoS attack mitigation scheme in ISP networks using machine learning based on SDN

NN Tuan, PH Hung, ND Nghia, NV Tho, TV Phan… - Electronics, 2020 - mdpi.com
… , we propose a novel DDoS attack mitigation in SDN-based … and ICMP flood attacks utilizing
machine learning approach, ie, … use of the SDN technology in oder to mitigate DDoS attacks. …

FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks

WI Khedr, AE Gouda, ER Mohamed - IEEE Access, 2023 - ieeexplore.ieee.org
… The use of newly formed Software-Defined Networking (SDN) significantly lowers the … This
paper proposes an SDNbased, four-module DDoS attack detection and mitigation framework …

Flow-based detection and mitigation of low-rate ddos attack in sdn environment using machine learning techniques

KM Sudar, P Deepalakshmi - IoT and Analytics for Sensor Networks …, 2022 - Springer
… to detect and mitigate LR-DDoS attack in SDN environment using machine learning … and
destination address are not sufficient to detect attack, we have used four essential features viz. …

An investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN controllers

JD Gadze, AA Bamfo-Asante, JO Agyemang… - Technologies, 2021 - mdpi.com
… We further provide details on the time taken to detect and mitigate the attack. Our results …
deep learning algorithm that can be applied in the detection and mitigation of DDoS in the SDN

A flexible SDN-based architecture for identifying and mitigating low-rate DDoS attacks using machine learning

JA Perez-Diaz, IA Valdovinos, KKR Choo, D Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
… algorithms to enhance the detection and mitigation of LR-DDoS attacks. In this paper, we …
-DDoS attack detection and mitigation in SDN environments using machine learning techniques…

Dynamic attack detection and mitigation in IoT using SDN

SS Bhunia, M Gurusamy - 2017 27th International …, 2017 - ieeexplore.ieee.org
Using non-linear SVM, the DDoS attack is detected with better precision (98%) and recall
(95… anomaly detection of IoT traffic using machine learning for early detection of attacks on IoT. …