[HTML][HTML] 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 …
Deep learning for the security of software-defined networks: a review
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …
optimization of them are becoming increasingly challenging tasks for network administrators …
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 …
Abnormal traffic detection system in SDN based on deep learning hybrid models
K Wang, Y Fu, X Duan, T Liu, J Xu - Computer Communications, 2024 - Elsevier
Software defined network (SDN) provides technical support for network construction of smart
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
cities. However, the openness of SDN is also prone to more network attacks. Traditional …
[HTML][HTML] Deep learning-based approach for detecting DDoS attack on software-defined networking controller
A Mansoor, M Anbar, AA Bahashwan, BA Alabsi… - Systems, 2023 - mdpi.com
The rapid growth of cloud computing has led to the development of the Software-Defined
Network (SDN), which is a network strategy that offers dynamic management and improved …
Network (SDN), which is a network strategy that offers dynamic management and improved …
Overview of DDoS attack detection in software-defined networks
H Wang, Y Li - IEEE Access, 2024 - ieeexplore.ieee.org
Software Defined network (SDN), as a new network architecture, is the direction of future
network development. By decoupling the control plane and data plane of the network, the …
network development. By decoupling the control plane and data plane of the network, the …
Multi-Level Deep Neural Network for Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Networking Supported Internet of Things …
With the increasing rates of interconnected Internet of Things (IoT) devices within Software-
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …
Hybrid metaheuristics with deep learning enabled cyberattack prevention in software defined networks
PB Arun Prasad, V Mohan, K Vinoth Kumar - Tehnički vjesnik, 2024 - hrcak.srce.hr
Sažetak Software-Defined Networks (SDN) refers to a revolutionary pattern that separates
the control plane from the data plane, converting the idea of a software-driven network …
the control plane from the data plane, converting the idea of a software-driven network …
面向软件定义网络的异常流量检测研究综述
付钰， 王坤， 段雪源， 刘涛涛 - 通信学报, 2024 - infocomm-journal.com
针对软件定义网络(SDN) 较传统网络更易遭受网络攻击的现实, 从技术原理和架构特点出发,
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
[HTML][HTML] Distributed denial of service attack detection in network traffic using deep learning algorithm
Internet security is a major concern these days due to the increasing demand for information
technology (IT)-based platforms and cloud computing. With its expansion, the Internet has …
technology (IT)-based platforms and cloud computing. With its expansion, the Internet has …