Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking
The Software-Defined Network (SDN) is a new network paradigm that promises more
dynamic and efficiently manageable network architecture for new-generation networks. With …
dynamic and efficiently manageable network architecture for new-generation networks. With …
Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review
S Kaur, AK Sandhu, A Bhandari - International Journal of Information …, 2023 - Springer
Rapid growth of network technologies necessitates the evolution and reconfiguration of
network policies. The rigid nature of legacy networks is a concern for service providers. This …
network policies. The rigid nature of legacy networks is a concern for service providers. This …
Machine learning and deep learning techniques for distributed denial of service anomaly detection in software defined networks-current research solutions
NS Musa, NM Mirza, SH Rafique, A Abdallah… - IEEE …, 2024 - ieeexplore.ieee.org
This state-of-the-art review comprehensively examines the landscape of Distributed Denial
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
SD-IIDS: intelligent intrusion detection system for software-defined networks
Abstract Software-Defined Networking (SDN) is susceptible to security threats despite all the
network programmability and flexibility offered, and hence SDN must be safeguarded. This …
network programmability and flexibility offered, and hence SDN must be safeguarded. This …
SVM based DDoS attack detection in IoT using Iot-23 botnet dataset
Network security is one of the most important challenges in Smart cities networks. A
distributed denial of service (DDoS) attack is a cyberattack that attempts to distribute the …
distributed denial of service (DDoS) attack is a cyberattack that attempts to distribute the …
Using machine learning and software-defined networking to detect and mitigate DDoS attacks in fiber-optic networks
Fiber optic networks (FONs) are considered the backbone of telecom companies worldwide.
However, the network elements of FONs are scattered over a wide area and managed …
However, the network elements of FONs are scattered over a wide area and managed …
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 …
Intrusion detection framework based on causal reasoning for DDoS
ZR Zeng, W Peng, D Zeng, C Zeng, YF Chen - Journal of Information …, 2022 - Elsevier
Among network security issues, distributed denial of service (DDoS) attacks are particularly
harmful to a network. Several previous machine learning (ML)-based network intrusion …
harmful to a network. Several previous machine learning (ML)-based network intrusion …
Distributed denial of service attacks detection for software defined networks based on evolutionary decision tree model
H Kamel, MZ Abdullah - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
The software defined networks (SDN) system has modern techniques in networking, it
separates the forwarding plane from the control plane and works to collect control functions …
separates the forwarding plane from the control plane and works to collect control functions …
An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …
learning models for various cyberattack detection from the past 5 years with a major …