A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
Unsupervised machine learning for networking: Techniques, applications and research challenges
While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …
research, the bulk of such works has focused on supervised learning. Recently, there has …
InSDN: A novel SDN intrusion dataset
MS Elsayed, NA Le-Khac, AD Jurcut - IEEE access, 2020 - ieeexplore.ieee.org
Software-Defined Network (SDN) has been developed to reduce network complexity
through control and manage the whole network from a centralized location. Today, SDN is …
through control and manage the whole network from a centralized location. Today, SDN is …
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 …
IoT intrusion detection system using deep learning and enhanced transient search optimization
The great advancements in communication, cloud computing, and the internet of things (IoT)
have opened critical challenges in security. With these developments, cyberattacks are also …
have opened critical challenges in security. With these developments, cyberattacks are also …
Ai-based two-stage intrusion detection for software defined iot networks
Software defined Internet of Things (SD-IoT) networks profit from centralized management
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
A survey on the security of stateful SDN data planes
Software-defined networking (SDN) emerged as an attempt to introduce network innovations
faster, and to radically simplify and automate the management of large networks. SDN …
faster, and to radically simplify and automate the management of large networks. SDN …
Machine learning algorithms to detect DDoS attacks in SDN
Summary Summary Software‐Defined Networking (SDN) is an emerging network paradigm
that has gained significant traction from many researchers to address the requirement of …
that has gained significant traction from many researchers to address the requirement of …
Long short-term memory and fuzzy logic for anomaly detection and mitigation in software-defined network environment
Computer networks become complex and dynamic structures. As a result of this fact, the
configuration and the managing of this whole structure is a challenging activity. Software …
configuration and the managing of this whole structure is a challenging activity. Software …
A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …
configure, and optimize network resources by introducing a clear separation between the …