[HTML][HTML] A survey of low rate ddos detection techniques based on machine learning in software-defined networks
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 …
control, programmability, and a global view of topology in the controller. SDN is becoming …
Towards DDoS detection mechanisms in software-defined networking
Y Cui, Q Qian, C Guo, G Shen, Y Tian, H Xing… - 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 …
Bringing intelligence to software defined networks: Mitigating DDoS attacks
Z Abou El Houda, L Khoukhi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As one of the most devastating types of Distributed Denial of Service (DDoS) attacks,
Domain Name System (DNS) amplification attack represents a big threat and one of the …
Domain Name System (DNS) amplification attack represents a big threat and one of the …
Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
IA Valdovinos, JA Pérez-Díaz, KKR Choo… - Journal of Network and …, 2021 - Elsevier
Software-defined networking (SDN) is a network paradigm that decouples control and data
planes from network devices and places them into separate entities. In SDN, the controller is …
planes from network devices and places them into separate entities. In SDN, the controller is …
Ddos attack detection approaches in on software defined network
Software Defined Networking (SDN) is a new network paradigm to address the limitations of
vertically integrated conventional networks in context of scalability, Quality of Service …
vertically integrated conventional networks in context of scalability, Quality of Service …
[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 …
DoS/DDoS attacks in software-defined networks (SDNs). SDNs are becoming increasingly …
[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 …
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) …
becoming more commonplace and sophisticated. Distributed denial of service (DDoS) …
A novel distributed denial-of-service attack detection scheme for software defined networking environments
Software-Defined networking (SDN), as a new paradigm, fixes the shortage that traditional
network does not support the dynamic, scalable computing and storage needs of more …
network does not support the dynamic, scalable computing and storage needs of more …
A deep learning based DDoS detection system in software-defined networking (SDN)
Distributed Denial of Service (DDoS) is one of the most prevalent attacks that an
organizational network infrastructure comes across nowadays. We propose a deep learning …
organizational network infrastructure comes across nowadays. We propose a deep learning …