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DoS/DDoS attacks in Software Defined Networks: Current situation, challenges and future directions
Abstract Software-Defined Network (SDN) is a perception of networking that separates the
network into different layers responsible for applications, control, and data, thus providing a …
network into different layers responsible for applications, control, and data, thus providing a …
Multi-level deep neural network for distributed denial-of-service attack detection and classification in software-defined networking supported internet of things networks
With the increasing rates of interconnected Internet of Things (IoT) devices within software-
defined networking (SDN) environments, Distributed Denial-of-Service (DDoS) attacks have …
defined networking (SDN) environments, Distributed Denial-of-Service (DDoS) attacks have …
Abnormal traffic detection system in SDN based on deep learning hybrid models
K Wang, Y Fu, X Duan, T Liu, J Xu - Computer communications, 2024 - Elsevier
Software defined network (SDN) provides technical support for network construction of smart
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
Deep Learning-Based Intrusion Detection System For Detecting IoT Botnet Attacks: A Review
T Al-Shurbaji, M Anbar, S Manickam… - IEEE …, 2025 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) devices has brought about an increased threat of
botnet attacks, necessitating robust security measures. In response to this evolving …
botnet attacks, necessitating robust security measures. In response to this evolving …
Improvement of distributed denial of service attack detection through machine learning and data processing
FL Becerra-Suarez, I Fernández-Roman, MG Forero - Mathematics, 2024 - mdpi.com
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a
fundamental area of research to safeguard the integrity and functionality of organizations' …
fundamental area of research to safeguard the integrity and functionality of organizations' …
[HTML][HTML] Deep learning-based approach for detecting DDoS attack on software-defined networking controller
The rapid growth of cloud computing has led to the development of the Software-Defined
Network (SDN), which is a network strategy that offers dynamic management and improved …
Network (SDN), which is a network strategy that offers dynamic management and improved …
[HTML][HTML] A lightweight mitigation approach against a new inundation attack in RPL-based IoT networks
Internet of Things (IoT) networks are being widely deployed for a broad range of critical
applications. Without effective security support, such a trend would open the doors to …
applications. Without effective security support, such a trend would open the doors to …
A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network
Abstract Software Defined Networking (SDN) is a paradigm shift in the network industry with
decoupling of control and data plane. This helps network engineers to control and manage …
decoupling of control and data plane. This helps network engineers to control and manage …
[HTML][HTML] IOTASDN: IOTA 2.0 smart contracts for securing software-defined networking ecosystem
Software-Defined Networking (SDN) has revolutionized network management by providing
unprecedented flexibility, control, and efficiency. However, its centralized architecture …
unprecedented flexibility, control, and efficiency. However, its centralized architecture …
HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN
Software Defined Network (SDN) has alleviated traditional network limitations but faces a
significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against …
significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against …