A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
DDOS attack detection in SDN: Method of attacks, detection techniques, challenges and research gaps
The aim of a Software Defined Network is to provide flexibility and programmability towards
ensuring network manageability and centralized control to deal with the growing users of …
ensuring network manageability and centralized control to deal with the growing users of …
Optimized artificial intelligence model for DDoS detection in SDN environment
Y Al-Dunainawi, BR Al-Kaseem… - IEEE Access, 2023 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks continue to be a major security concern,
threatening the availability and reliability of network services. Software-defined networking …
threatening the availability and reliability of network services. Software-defined networking …
[HTML][HTML] A combination learning framework to uncover cyber attacks in IoT networks
Abstract The Internet of Things (IoT) is rapidly expanding, connecting an increasing number
of devices daily. Having diverse and extensive networking and resource-constrained …
of devices daily. Having diverse and extensive networking and resource-constrained …
[PDF][PDF] Ddos detection in Software-Defined Network (Sdn) using machine learning
H Alubaidan, R Alzaher, M AlQhatani… - Int J Cybernetics …, 2023 - ijcionline.com
In recent years, the concept of cloud computing and the software-defined network (SDN)
have spread widely. The services provided by many sectors such as medicine, education …
have spread widely. The services provided by many sectors such as medicine, education …
A comprehensive analysis of machine learning-and deep learning-based solutions for DDoS attack detection in SDN
Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …
efficiency compared to traditional networks. These are owing to the SDN's mutual …
Bungee-ml: A cross-plane approach for a collaborative defense against ddos attacks
LA Quintero González, L Castanheira… - Journal of Network and …, 2023 - Springer
Network services and applications are targeted by different types of attacks on a daily basis.
One of the most common and devastating types is Distributed Denial of Service (DDoS) …
One of the most common and devastating types is Distributed Denial of Service (DDoS) …
[PDF][PDF] Probe Attack Detection Using an Improved Intrusion Detection System.
A Almazyad, L Halman, A Alsaeed - Computers, Materials & …, 2023 - researchgate.net
The novel Software Defined Networking (SDN) architecture potentially resolves specific
challenges arising from rapid internet growth of and the static nature of conventional …
challenges arising from rapid internet growth of and the static nature of conventional …
A detailed review on enhancing the security in Internet of Things-Based Smart City Environment using Machine learning algorithms
A Muniswamy, R Rathi - IEEE Access, 2024 - ieeexplore.ieee.org
Over the past few years, smart cities have seamlessly integrated into our daily lives, offering
convenience and simplicity. However, as these cities become increasingly interconnected …
convenience and simplicity. However, as these cities become increasingly interconnected …