Deep learning-based slow DDoS attack detection in SDN-based networks
B Nugraha, RN Murthy - 2020 IEEE Conference on Network …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a promising networking paradigm that provides
outstanding manageability, scalability, controllability, and flexibility. Despite having such …
outstanding manageability, scalability, controllability, and flexibility. Despite having such …
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 …
due to its advantages over traditional networks with regard to scalability, flexibility, and its …
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 …
years to address the weaknesses in traditional networks. The significant feature of the SDN …
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 deep learning approach combining autoencoder with one-class SVM for DDoS attack detection in SDNs
L Mhamdi, D McLernon, F El-Moussa… - 2020 IEEE Eighth …, 2020 - ieeexplore.ieee.org
Software Defined Networking (SDN) provides us with the capability of collecting network
traffic information and managing networks proactively. Therefore, SDN facilitates the …
traffic information and managing networks proactively. Therefore, SDN facilitates the …
DDoS attack detection and mitigation using deep neural network in SDN environment
In the contemporary digital landscape, the escalating threat landscape of cyber attacks,
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
particularly distributed denial-of-service (DDoS) attacks, has become a paramount concern …
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 flow-based anomaly detection approach with feature selection method against ddos attacks in sdns
MS El Sayed, NA Le-Khac, MA Azer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …
centralised network management. The SDN enables the network operators to manage the …
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) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
Deep learning algorithms for detecting denial of service attacks in software-defined networks
Abstract In Software-Defined Networking (SDN) the controller is the only entity that has the
complete view on the network, and it acts as the brain, which is responsible for traffic …
complete view on the network, and it acts as the brain, which is responsible for traffic …