Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
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 …
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) …
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 …
A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
NM Yungaicela-Naula, C Vargas-Rosales… - Journal of network and …, 2022 - Elsevier
Abstract Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
defense tools. Fortunately, it has been demonstrated that Software-Defined Networking …
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 …
A Bayesian Q-Learning Game for Dependable Task Offloading Against DDoS Attacks in Sensor Edge Cloud
J Liu, X Wang, S Shen, G Yue, S Yu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To enhance dependable resource allocation against increasing distributed denial-of-service
(DDoS) attacks, in this article, we investigate interactions between a sensor device-edgeVM …
(DDoS) attacks, in this article, we investigate interactions between a sensor device-edgeVM …
Detection and mitigation of low-rate denial-of-service attacks: A survey
The potential for being the target of Denial of Service (DoS) attacks is one of the most severe
security threats on the Internet. Attackers have been modifying their attack format over the …
security threats on the Internet. Attackers have been modifying their attack format over the …
Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques--A Comprehensive Survey
At present, the Internet is facing numerous attacks of different kinds that put its data at risk.
The safety of information within the network is, therefore, a significant concern. To prevent …
The safety of information within the network is, therefore, a significant concern. To prevent …
A comprehensive survey on low-rate and high-rate DDoS defense approaches in SDN: taxonomy, research challenges, and opportunities
Abstract Software Defined Networking (SDN) expands the networking capabilities using
abstraction, open-source protocols, energy efficiency, and programmable features for …
abstraction, open-source protocols, energy efficiency, and programmable features for …