Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions
Many security solutions have been proposed in the past to protect Internet architecture from
a diversity of malware. However, the security of the Internet and its applications is still an …
a diversity of malware. However, the security of the Internet and its applications is still an …
A comprehensive survey on SDN security: threats, mitigations, and future directions
Nowadays, security threats on Software Defined Network SDN architectures are similar to
traditional networks. However, the profile of these threats changes with SDN. For example, a …
traditional networks. However, the profile of these threats changes with SDN. For example, a …
[HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Abstract The Internet of Things (IoT) is a complex and diverse network consisting of resource-
constrained sensors/devices/things that are vulnerable to various security threats …
constrained sensors/devices/things that are vulnerable to various security threats …
Automated DDOS attack detection in software defined networking
Abstract Software-Defined Networking (SDN) is a networking paradigm that has redefined
the term network by making the network devices programmable. SDN helps network …
the term network by making the network devices programmable. SDN helps network …
An evolutionary SVM model for DDOS attack detection in software defined networks
Software-Defined Network (SDN) has become a promising network architecture in current
days that provide network operators more control over the network infrastructure. The …
days that provide network operators more control over the network infrastructure. The …
Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller
Software defined networks (SDNs) in a combination of cloud computing are the best
amalgamation for the researchers and industry. Though, these unique networking …
amalgamation for the researchers and industry. Though, these unique networking …
Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
The DDoS attacks detection through machine learning and statistical methods in SDN
A Banitalebi Dehkordi, MR Soltanaghaei… - The Journal of …, 2021 - Springer
The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …
defined network (SDN). The different limitations of the existing DDoS detection methods …
[HTML][HTML] A dynamic MLP-based DDoS attack detection method using feature selection and feedback
M Wang, Y Lu, J Qin - Computers & Security, 2020 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is a stubborn network security problem.
Various machine learning-based methods have been proposed to detect such attacks …
Various machine learning-based methods have been proposed to detect such attacks …
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
Abstract Supervisory Control and Data Acquisition (SCADA) systems supervise and monitor
critical infrastructures and industrial processes. However, SCADA systems running on …
critical infrastructures and industrial processes. However, SCADA systems running on …