Machine learning and deep learning based traffic classification and prediction in software defined networking

AŞR Mohammed, SA Mohammed… - … on Measurements & …, 2019 - ieeexplore.ieee.org
The Internet is constantly growing in size and becoming more complex. The field of
networking is thus continuously progressing to cope with this monumental growth of network …

Intelligent SDN traffic classification using deep learning: Deep-SDN

A Malik, R de Fréin, M Al-Zeyadi… - … and the Internet …, 2020 - ieeexplore.ieee.org
Accurate traffic classification is fundamentally important for various network activities such as
fine-grained network management and resource utilisation. Port-based approaches, deep …

Deep neural networks for application awareness in SDN-based network

J Xu, J Wang, Q Qi, H Sun, B He - 2018 IEEE 28th International …, 2018 - ieeexplore.ieee.org
Accurate traffic classification is essential for traffic engineering and Quality of Service (QoS)
guarantee, especially in Internet of Things (IoT). Different applications have different network …

A survey of traffic classification in software defined networks

J Yan, J Yuan - 2018 1st IEEE International Conference on Hot …, 2018 - ieeexplore.ieee.org
Traffic classification has been widely used in network management, service measurements,
network design, security monitoring and advertising. Software defined networks (SDN) is an …

Data traffic classification in software defined networks (SDN) using supervised-learning

MM Raikar, SM Meena, MM Mulla, NS Shetti… - Procedia Computer …, 2020 - Elsevier
Traffic classification with accuracy is of prime importance in network activities such as
security monitoring, traffic engineering, fault detection, accounting of network usage, billing …

Intelligent traffic management in next-generation networks

O Aouedi, K Piamrat, B Parrein - Future internet, 2022 - mdpi.com
The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …

OpenMeasure: Adaptive flow measurement & inference with online learning in SDN

C Liu, AM Malboubi, CN Chuah - 2016 IEEE Conference on …, 2016 - ieeexplore.ieee.org
Accurate and efficient network-wide traffic measurement is crucial for network management.
Recently, Software-defined networking (SDN) has opened up new opportunities in network …

Payload-based traffic classification using multi-layer lstm in software defined networks

HK Lim, JB Kim, K Kim, YG Hong, YH Han - Applied Sciences, 2019 - mdpi.com
Recently, with the advent of various Internet of Things (IoT) applications, a massive amount
of network traffic is being generated. A network operator must provide different quality of …

[PDF][PDF] Application-based online traffic classification with deep learning models on SDN networks

C Lin-Huang, L Tsung-Han… - Advances in …, 2020 - pdfs.semanticscholar.org
The traffic classification based on the network applications is one important issue for network
management. In this paper, we propose an application-based online and offline traffic …

Machine learning techniques for traffic identification and classifiacation in SDWSN: A survey

R Thupae, B Isong, N Gasela… - IECON 2018-44th …, 2018 - ieeexplore.ieee.org
Software defined network (SDN) is a paradigm developed achieve great flexibility and cope
with the limitations of traditional networks architecture such as the wireless sensor networks …