Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
[HTML][HTML] DoS and DDoS attacks in Software Defined Networks: A survey of existing solutions and research challenges
LF Eliyan, R Di Pietro - Future Generation Computer Systems, 2021 - Elsevier
Abstract Software Defined Networking (SDN) is a new networking paradigm where
forwarding hardware is decoupled from control decisions. It promises to dramatically simplify …
forwarding hardware is decoupled from control decisions. It promises to dramatically simplify …
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 …
Detection of DDoS attacks with feed forward based deep neural network model
As a result of the increase in the services provided over the internet, it is seen that the
network infrastructure is more exposed to cyber attacks. The most widely used of these …
network infrastructure is more exposed to cyber attacks. The most widely used of these …
A survey on machine learning techniques for routing optimization in SDN
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
[Retracted] Prevention Techniques against Distributed Denial of Service Attacks in Heterogeneous Networks: A Systematic Review
The Distributed Denial of Service (DDoS) attack is one of the most critical issues in network
security. These sorts of attacks pose a noteworthy danger to the accessibility of network …
security. These sorts of attacks pose a noteworthy danger to the accessibility of network …
An investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN controllers
JD Gadze, AA Bamfo-Asante, JO Agyemang… - Technologies, 2021 - mdpi.com
Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a
software-driven network through the separation of control and data planes. It addresses the …
software-driven network through the separation of control and data planes. It addresses the …
ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network
AO Alzahrani, MJF Alenazi - Concurrency and Computation …, 2023 - Wiley Online Library
Software‐defined networking (SDN) has been developed to separate network control plane
from forwarding plane which can decrease operational costs and the time it takes to deploy …
from forwarding plane which can decrease operational costs and the time it takes to deploy …
A hybrid deep learning approach for bottleneck detection in IoT
Cloud computing is perhaps the most enticing innovation in the present figuring situation. It
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
Network threat detection using machine/deep learning in sdn-based platforms: a comprehensive analysis of state-of-the-art solutions, discussion, challenges, and …
A revolution in network technology has been ushered in by software defined networking
(SDN), which makes it possible to control the network from a central location and provides …
(SDN), which makes it possible to control the network from a central location and provides …