Distributed denial of service (DDoS) mitigation using blockchain—A comprehensive insight

S Wani, M Imthiyas, H Almohamedh, KM Alhamed… - Symmetry, 2021 - mdpi.com
Distributed Denial of Service (DDoS) attack is a major threat impeding service to legitimate
requests on any network. Although the first DDoS attack was reported in 1996, the …

Ddosnet: A deep-learning model for detecting network attacks

MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …

A survey on distributed denial of service (DDoS) attacks in SDN and cloud computing environments

S Dong, K Abbas, R Jain - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, software defined networks (SDNs) and cloud computing have been widely
adopted by researchers and industry. However, widespread acceptance of these novel …

A survey of networking applications applying the software defined networking concept based on machine learning

Y Zhao, Y Li, X Zhang, G Geng, W Zhang, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …

[HTML][HTML] A Comprehensive Survey on DDoS Attacks Detection & Mitigation in SDN-IoT Network

C Singh, AK Jain - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has transformed our lives by introducing new services
and enhancing productivity. However, the widespread adoption of IoT devices and …

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
Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a
software-driven network through the separation of control and data planes. It addresses the …

Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms

V de Miranda Rios, PRM Inácio, D Magoni… - Computer Networks, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …

Comparison of ML/DL approaches for detecting DDoS attacks in SDN

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
Software-defined networking (SDN) presents novel security and privacy risks, including
distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning …

Design and implementation of IoT DDoS attacks detection system based on machine learning

YW Chen, JP Sheu, YC Kuo… - … Conference on Networks …, 2020 - ieeexplore.ieee.org
DDoS attacks often happen in cloud servers and cause a devastating problem. However, an
increasing number of Internet of Things (IoT) devices makes us not ignore the influence of …

[HTML][HTML] Detecting flooding DDoS attacks in software defined networks using supervised learning techniques

S Wang, JF Balarezo, KG Chavez, A Al-Hourani… - … science and technology …, 2022 - Elsevier
For the easy and flexible management of large scale networks, Software-Defined
Networking (SDN) is a strong candidate technology that offers centralisation and …