A DDoS detection method based on feature engineering and machine learning in software-defined networks
Z Liu, Y Wang, F Feng, Y Liu, Z Li, Y Shan - Sensors, 2023 - mdpi.com
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
DDoS attack detection and mitigation using deep neural network in SDN environment
In the contemporary digital landscape, the escalating threat landscape of cyber attacks,
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks
Abstract Software Defined Networking (SDN) has become popular due to its flexibility and
agility in network management, enabling rapid adaptation to changing business …
agility in network management, enabling rapid adaptation to changing business …
Detecting and mitigating botnet attacks in software-defined networks using deep learning techniques
Software-Defined Networking (SDN) is an emerging architecture that enables flexible and
easy management and communication of large-scale networks. It offers programmable and …
easy management and communication of large-scale networks. It offers programmable and …
Software-defined network planes-a survey on attacks and countermeasure
DS Vadivu, N Rajagopalan - International Journal of …, 2023 - inderscienceonline.com
A smartly managed framework that enables the network to be configured via software
application is termed software-defined networks (SDN). SDN gracefully abstracts the …
application is termed software-defined networks (SDN). SDN gracefully abstracts the …
GLD‐Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion
W Guo, H Qiu, Z Liu, J Zhu… - Computational Intelligence …, 2022 - Wiley Online Library
Distributed denial of service (DDoS) attacks are the most common means of cyberattacks
against infrastructure, and detection is the first step in combating them. The current DDoS …
against infrastructure, and detection is the first step in combating them. The current DDoS …
[PDF][PDF] Open-Source Software Defined Networking Controllers: State-of-the-Art, Challenges and Solutions for Future Network Providers.
ABSTRACT Software Defined Networking (SDN) is programmable by separation of
forwarding control through the centralization of the controller. The controller plays the role of …
forwarding control through the centralization of the controller. The controller plays the role of …
SDN candidate and protection path selection for link failure protection in hybrid SDNs
J Li, X Qi, Y He, L Liu - Reliability Engineering & System Safety, 2024 - Elsevier
Abstract Software-Defined Networks (SDNs) have emerged as significant frameworks for
enhancing the network flexibility. Currently, the migration from legacy IP networks to pure …
enhancing the network flexibility. Currently, the migration from legacy IP networks to pure …
An Ensemble Edge Computing Approach for SD-IoT security Using Ensemble of Feature Selection Methods and Classification
Both academics and the IT industry are now researching the Internet of Things and software-
defined networks. They have received a number of criticisms in the SD-IoT due to their …
defined networks. They have received a number of criticisms in the SD-IoT due to their …
A Hybrid Extreme Gradient Boosting and Long Short-Term Memory Algorithm for Cyber Threats Detection
The vast amounts of data, lack of scalability, and low detection rates of traditional intrusion
detection technologies make it impossible to keep up with evolving and increasingly …
detection technologies make it impossible to keep up with evolving and increasingly …