DoS/DDoS attacks in Software Defined Networks: Current situation, challenges and future directions
MA Setitra, M Fan, I Benkhaddra… - Computer …, 2024 - Elsevier
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 …
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 …
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 …
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 …
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 …
Exploring the landscape of AI-SDN: A comprehensive bibliometric analysis and future perspectives
The rising influence of artificial intelligence (AI) enables widespread adoption of the
technology in every aspect of computing, including Software-Defined Networking (SDN) …
technology in every aspect of computing, including Software-Defined Networking (SDN) …
[HTML][HTML] Deep learning-based approach for detecting DDoS attack on software-defined networking controller
A Mansoor, M Anbar, AA Bahashwan, BA Alabsi… - Systems, 2023 - mdpi.com
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] 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 …
An improved intrusion detection method for IIoT using attention mechanisms, BiGRU, and Inception-CNN
K Yang, JM Wang, MJ Li - Scientific Reports, 2024 - nature.com
In the field of Industrial Internet of Things (IIoT), existing intrusion detection models face
challenges in three main areas: low accuracy in detecting attack traffic, feature redundancy …
challenges in three main areas: low accuracy in detecting attack traffic, feature redundancy …
Multi-Level Deep Neural Network for Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Networking Supported Internet of Things …
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 …