Complementing IoT services through software defined networking and edge computing: A comprehensive survey

W Rafique, L Qi, I Yaqoob, M Imran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML

RU Rasool, HF Ahmad, W Rafique, A Qayyum… - Journal of Network and …, 2022 - Elsevier
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …

InSDN: A novel SDN intrusion dataset

MS Elsayed, NA Le-Khac, AD Jurcut - IEEE access, 2020 - ieeexplore.ieee.org
Software-Defined Network (SDN) has been developed to reduce network complexity
through control and manage the whole network from a centralized location. Today, SDN is …

Automated DDOS attack detection in software defined networking

N Ahuja, G Singal, D Mukhopadhyay… - Journal of Network and …, 2021 - Elsevier
Abstract Software-Defined Networking (SDN) is a networking paradigm that has redefined
the term network by making the network devices programmable. SDN helps network …

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 …

Convolutional neural network for multi-class classification of diabetic eye disease

R Sarki, K Ahmed, H Wang, Y Zhang… - … Transactions on Scalable …, 2021 - vuir.vu.edu.au
Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …

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 …

[PDF][PDF] Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms.

A Aqdus, R Amin, S Ramzan… - … Materials & Continua, 2023 - cdn.techscience.cn
The rapid advancement of wireless communication is forming a hyper-connected 5G
network in which billions of linked devices generate massive amounts of data. The traffic …

A knowledge graph empowered online learning framework for access control decision-making

M You, J Yin, H Wang, J Cao, K Wang, Y Miao… - World Wide Web, 2023 - Springer
Abstract Knowledge graph, as an extension of graph data structure, is being used in a wide
range of areas as it can store interrelated data and reveal interlinked relationships between …

A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN

RF Fouladi, O Ermiş, E Anarim - Computer Networks, 2022 - Elsevier
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …