SDN-enabled FiWi-IoT smart environment network traffic classification using supervised ML models

E Ganesan, IS Hwang, AT Liem, MS Ab-Rahman - Photonics, 2021 - mdpi.com
Due to the rapid growth of the Internet of Things (IoT), applications such as the Augmented
Reality (AR)/Virtual Reality (VR), higher resolution media stream, automatic vehicle driving …

IoT network traffic classification using machine learning algorithms: An experimental analysis

R Kumar, M Swarnkar, G Singal… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …

ProfilIoT: A machine learning approach for IoT device identification based on network traffic analysis

Y Meidan, M Bohadana, A Shabtai… - Proceedings of the …, 2017 - dl.acm.org
In this work we apply machine learning algorithms on network traffic data for accurate
identification of IoT devices connected to a network. To train and evaluate the classifier, we …

Classifying IoT devices in smart environments using network traffic characteristics

A Sivanathan, HH Gharakheili, F Loi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is being hailed as the next wave revolutionizing our society, and
smart homes, enterprises, and cities are increasingly being equipped with a plethora of IoT …

A deep learning based method for network application classification in software-defined IoT

MB Umair, Z Iqbal, FZ Khan, MA Khan… - International Journal of …, 2022 - World Scientific
Network Application Classification (NAC) is a vital technology for intrusion detection, Quality-
of-Service (QoS)-aware traffic engineering, traffic analysis, and network anomalies …

Internet of things device classification using transport and network layers communication traffic traces

R Roy Chowdhury, A Che Idris… - International Journal of …, 2022 - journals.uob.edu.bh
In recent years, resource-constrained Internet of Things (IoT) devices have been
incorporated in many domains. However, malicious users and attackers in the cyberspace …

IoT traffic multi-classification using network and statistical features in a smart environment

A Hameed, A Leivadeas - 2020 IEEE 25th international …, 2020 - ieeexplore.ieee.org
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …

Detecting behavioral change of IoT devices using clustering-based network traffic modeling

A Sivanathan, HH Gharakheili… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is increasingly becoming a major challenge for network
administrators to manage connected devices and sensors ranging from smart lights to …

Network traffic flow based machine learning technique for IoT device identification

I Ullah, QH Mahmoud - 2021 IEEE international systems …, 2021 - ieeexplore.ieee.org
Security and privacy issues are being raised as smart systems are integrated into our daily
lives. New security issues have emerged with several new vendors that develop the Internet …

Traffic behavior-based device type classification

C Takasaki, T Korikawa, K Hattori… - 2023 International …, 2023 - ieeexplore.ieee.org
Network operators play a fundamental role of providing network connectivity which fulfill
service requirements of user devices. In the evolved 5G and 6G, the Internet of Things (IoT) …