[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges

A Azab, M Khasawneh, S Alrabaee, KKR Choo… - Digital Communications …, 2022 - Elsevier
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …

A survey on device fingerprinting approach for resource-constraint IoT devices: comparative study and research challenges

RR Chowdhury, PE Abas - Internet of Things, 2022 - Elsevier
Modernization and technological advancement have made smart and convenient living
environments, including smart houses and smart cities, possible, by combining the Internet …

Resource allocation with edge-cloud collaborative traffic prediction in integrated radio and optical networks

B Bao, H Yang, Q Yao, L Guan, J Zhang… - IEEE Access, 2023 - ieeexplore.ieee.org
By integrating communications in different domains, integrated radio and optical networks
can serve a wider range of applications and services. Integrated radio and optical network …

Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI and MTD Approaches to Security Solutions

AH Abdi, L Audah, A Salh, MA Alhartomi… - IEEE …, 2024 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a groundbreaking technology that has transformed
network management significantly. By integrating data and control, SDN offers unparalleled …

An SDN/ML-based adaptive cell selection approach for HetNets: a real-world case study in London, UK

IA Alablani, MA Arafah - IEEE Access, 2021 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) are one of the key enabling technologies for next-
generation networks. They aim to provide high capacity, low installation cost, and distributed …

A2T-boost: An adaptive cell selection approach for 5G/SDN-based vehicular networks

IA AlAblani, MA Arafah - IEEE Access, 2023 - ieeexplore.ieee.org
Heterogeneous ultra-dense networks (HUDNs) are one of the key enabling technologies for
the fifth-generation (5G) networks. They aim to provide high capacity, low installation cost …

ML-Based Traffic Classification in an SDN-Enabled Cloud Environment

O Belkadi, A Vulpe, Y Laaziz, S Halunga - Electronics, 2023 - mdpi.com
Traffic classification plays an essential role in network security and management; therefore,
studying traffic in emerging technologies can be useful in many ways. It can lead to …

Virtual reality traffic prioritization for Wi-Fi quality of service improvement using machine learning classification techniques

SS Shaabanzadeh, M Carrascosa-Zamacois… - Journal of Network and …, 2024 - Elsevier
The increase in the demand for eXtended Reality (XR)/Virtual Reality (VR) services in the
recent years, poses a great challenge for Wi-Fi networks to maintain the strict latency …

An efficient deep learning mechanisms for IoT/Non-IoT devices classification and attack detection in SDN-enabled smart environment

P Malini, KR Kavitha - Computers & Security, 2024 - Elsevier
In recent years, the development of Internet of Things (IoT) applications has increased,
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …

An IoT-based low-cost architecture for smart libraries using SDN

H Xu, W Liu, L Li, Q Zhou - Scientific Reports, 2024 - nature.com
In the evolving landscape of smart libraries, this research pioneers an IoT-based low-cost
architecture utilizing Software-Defined Networking (SDN). The increasing demand for more …