Towards efficient and scalable machine learning-based QoS traffic classification in software-defined network

MZF Audah, TS Chin, Y Zulfadzli, CK Lee… - Mobile Web and …, 2019 - Springer
Abstract Internet Service Provider (ISP) has the responsibility to fulfill the Quality of Service
(QoS) of various types of applications. The centralized network controller in Software …

Automated iot device identification using network traffic

A Aksoy, MH Gunes - ICC 2019-2019 IEEE international …, 2019 - ieeexplore.ieee.org
IoT devices have been gaining popularity and become integral to our daily life. These
devices are prone to be compromised as well as any computing system, but lack computing …

Autonomous IoT device identification prototype

N Ammar, L Noirie, S Tixeuil - 2019 network traffic …, 2019 - ieeexplore.ieee.org
In this paper, we demonstrate a prototype implementation to help identifying the types of IoT
devices being connected to a home network. Our solution is based on a supervised …

The rise of traffic classification in IoT networks: A survey

H Tahaei, F Afifi, A Asemi, F Zaki, NB Anuar - Journal of Network and …, 2020 - Elsevier
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

An intelligent traffic classification in sdn-iot: A machine learning approach

AI Owusu, A Nayak - 2020 IEEE International Black Sea …, 2020 - ieeexplore.ieee.org
In recent years, there has been a sharp increase in IoT devices. Majority of these IoT devices
have strict QoS requirements. This has made it very difficult for network providers to provide …

Network traffic classifier with convolutional and recurrent neural networks for Internet of Things

M Lopez-Martin, B Carro, A Sanchez-Esguevillas… - IEEE …, 2017 - ieeexplore.ieee.org
A network traffic classifier (NTC) is an important part of current network monitoring systems,
being its task to infer the network service that is currently used by a communication flow (eg …

FLITC: A novel federated learning-based method for IoT traffic classification

M Abbasi, A Taherkordi… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) systems are rightly receiving considerable interest for many real-
world applications, from in-body networks to satellite networks. Such a massive-scale …

A few-shot learning based approach to IoT traffic classification

Z Zhao, Y Lai, Y Wang, W Jia… - IEEE Communications …, 2021 - ieeexplore.ieee.org
IoT traffic classification is an important step in network management. Efficient and accurate
IoT traffic classification helps Internet Service Providers provide high-quality services to …

A holistic IoT device classification approach through spatial & temporal behaviors modelling

Y Aun, YM Khaw, ML Gan - Telecommunication Systems, 2022 - Springer
Traffic management is becoming increasingly complex due to the increasing diversity of IoT
platforms and protocols supported by heterogeneous devices. Recently, device …

[PDF][PDF] Applying big data, machine learning, and SDN/NFV for 5G early-stage traffic classification and network QoS control

LV Le, BS Lin, S Do - Transactions on Networks and …, 2018 - researchgate.net
Due to the rapid growth of mobile broadband and IoT applications, the early-stage mobile
traffic classification becomes more important for traffic engineering to guarantee Quality of …