A Review on DDoS attack Detection in SDN using ML
Ritu Raj, Sandeep Singh Kang · 2022
The world has completely transformed in terms of technology as a result of virtualization. One application of this virtualization is SDN. In recent years, it has become a popular and widely utilised network architecture. Using SDN, or a software-defined network, the control network is divided from the data plane. Although Software Defined Networks provide a simple and obvious method for network control, they have also created a new security danger. DoS attacks, man-in-themiddle attacks, and other threats are examples of these dangers. The most frequent and common danger on this list is DDoS. By impacting the server, DDoS made it simpler to start the attack. This results in the network as a whole failing. Therefore, it is essential to identify this threat in order for a server to operate safely. This research analyses the various machine learning approaches that are employed in the SDN context to identify DDoS attacks.