[HTML][HTML] A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking

AA Bahashwan, M Anbar, S Manickam, TA Al-Amiedy… - Sensors, 2023 - mdpi.com
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …

[HTML][HTML] Machine learning techniques to detect a DDoS attack in SDN: A systematic review

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …

[HTML][HTML] Comparison of ML/DL approaches for detecting DDoS attacks in SDN

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
Software-defined networking (SDN) presents novel security and privacy risks, including
distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning …

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) …

A deep CNN ensemble framework for efficient DDoS attack detection in software defined networks

S Haider, A Akhunzada, I Mustafa, TB Patel… - Ieee …, 2020 - ieeexplore.ieee.org
As novel technologies continue to reshape the digital era, cyberattacks are also increasingly
becoming more commonplace and sophisticated. Distributed denial of service (DDoS) …

[HTML][HTML] A survey of low rate ddos detection techniques based on machine learning in software-defined networks

AA Alashhab, MSM Zahid, MA Azim, MY Daha… - Symmetry, 2022 - mdpi.com
Software-defined networking (SDN) is a new networking paradigm that provides centralized
control, programmability, and a global view of topology in the controller. SDN is becoming …

DDoS attack detection and mitigation in SDN using machine learning

F Khashab, J Moubarak, A Feghali… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Software Defined Networking (SDN) is a networking paradigm that has been very popular
due to its advantages over traditional networks with regard to scalability, flexibility, and its …

[HTML][HTML] A DDoS Detection Method Based on Feature Engineering and Machine Learning in Software-Defined Networks

Z Liu, Y Wang, F Feng, Y Liu, Z Li, Y Shan - Sensors, 2023 - mdpi.com
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …

[HTML][HTML] Hybrid deep learning approach for automatic Dos/DDoS attacks detection in software-defined networks

H Elubeyd, D Yiltas-Kaplan - Applied Sciences, 2023 - mdpi.com
This paper proposes a hybrid deep learning algorithm for detecting and defending against
DoS/DDoS attacks in software-defined networks (SDNs). SDNs are becoming increasingly …

Ddosnet: A deep-learning model for detecting network attacks

MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …