Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks
M Snehi, A Bhandari - Computer Science Review, 2021 - Elsevier
The wide dispersion of the Internet of Things (IoT), Software-defined Networks and Cloud
Computing have given the wings to Cyber–Physical System adoption. The newfangled …
Computing have given the wings to Cyber–Physical System adoption. The newfangled …
Distributed denial of service attacks in cloud: State-of-the-art of scientific and commercial solutions
Cloud computing model provides on demand, elastic and fully managed computer system
resources and services to organizations. However, attacks on cloud components can cause …
resources and services to organizations. However, attacks on cloud components can cause …
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments
MP Novaes, LF Carvalho, J Lloret… - Future Generation …, 2021 - Elsevier
Over the last few years, Software Defined Networking (SDN) paradigm has become an
emerging architecture to design future networks and to meet new application demands. SDN …
emerging architecture to design future networks and to meet new application demands. SDN …
SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
NM Yungaicela-Naula, C Vargas-Rosales… - IEEE …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
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 …
Machine learning approaches for combating distributed denial of service attacks in modern networking environments
A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
FLEAM: A federated learning empowered architecture to mitigate DDoS in industrial IoT
Due to resource constraints and working surroundings, many IIoT nodes are easily hacked
and turn into zombies from which to launch attacks. It is challenging to detect such …
and turn into zombies from which to launch attacks. It is challenging to detect such …
A hybrid deep learning-driven SDN enabled mechanism for secure communication in Internet of Things (IoT)
The Internet of Things (IoT) has emerged as a new technological world connecting billions of
devices. Despite providing several benefits, the heterogeneous nature and the extensive …
devices. Despite providing several benefits, the heterogeneous nature and the extensive …
Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms
Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …
attacks on the Internet. With the advance of methods for detecting and mitigating these …
Security analysis of ddos attacks using machine learning algorithms in networks traffic
RJ Alzahrani, A Alzahrani - Electronics, 2021 - mdpi.com
The recent advance in information technology has created a new era named the Internet of
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
Things (IoT). This new technology allows objects (things) to be connected to the Internet …