Distributed denial of service attack prediction: Challenges, open issues and opportunities
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …
DDoS attacks have evolved in quantity and volume to evade detection and increase …
Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks
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 …
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 …
A deep CNN ensemble framework for efficient DDoS attack detection in software defined networks
As novel technologies continue to reshape the digital era, cyberattacks are also increasingly
becoming more commonplace and sophisticated. Distributed denial of service (DDoS) …
becoming more commonplace and sophisticated. Distributed denial of service (DDoS) …
Towards DDoS detection mechanisms in software-defined networking
Y Cui, Q Qian, C Guo, G Shen, Y Tian, H **ng… - Journal of Network and …, 2021 - Elsevier
Abstract Software-Defined Networking (SDN) is widely considered as one of the next
generation network architecture. However, SDN faces with a series of issues which restraint …
generation network architecture. However, SDN faces with a series of issues which restraint …
[PDF][PDF] DDoS Detection in SDN using Machine Learning Techniques.
Software-defined network (SDN) becomes a new revolutionary paradigm in networks
because it provides more control and network operation over a network infrastructure. The …
because it provides more control and network operation over a network infrastructure. The …
ML‐DDoSnet: IoT intrusion detection based on denial‐of‐service attacks using machine learning methods and NSL‐KDD
The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …
protected by integrity, confidentiality, and authentication services. The network is protected …
Software-defined cloud computing: A systematic review on latest trends and developments
AA Abbasi, A Abbasi, S Shamshirband… - Ieee …, 2019 - ieeexplore.ieee.org
Cloud computing concepts offer effective and efficient tools for addressing resource-hungry
computational problems. While conventional methods, architectures, and processing …
computational problems. While conventional methods, architectures, and processing …
Towards security automation in software defined networks
Abstract Software-Defined Networking (SDN) is a modern paradigm that provides a platform
for implementing reliable, centrally managed, and automated security solutions for …
for implementing reliable, centrally managed, and automated security solutions for …
Efficient DDoS detection based on K-FKNN in software defined networks
Y Xu, H Sun, F **ang, Z Sun - IEEE access, 2019 - ieeexplore.ieee.org
Software Defined Networking (SDN) centrally manages the network data layer to improve
the programmability and flexibility of networks by the controller. Because of centralized …
the programmability and flexibility of networks by the controller. Because of centralized …