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) …

ByteIoT: A practical IoT device identification system based on packet length distribution

C Duan, H Gao, G Song, J Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A tremendous amount of Internet-of-Things (IoT) devices have been deployed in recent
years, bringing new challenges for network management and cyber security. It is important …

Automatic device classification from network traffic streams of internet of things

L Bai, L Yao, SS Kanhere, X Wang… - 2018 IEEE 43rd …, 2018 - ieeexplore.ieee.org
With the widespread adoption of Internet of Things (IoT), billions of everyday objects are
being connected to the Internet. Effective management of these devices to support reliable …

Automatic Internet of Things device category identification using traffic rates

AS Hsu - 2019 - vtechworks.lib.vt.edu
Due to the ever increasing supply of new Internet of Things (IoT) devices being added onto a
network, it is vital secure the devices from incoming cyber threats. The manufacturing …

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 …

Accurate IoT Device Identification based on A Few Network Traffic

S Zhang, K Xiao, J Yu, X Liu… - 2023 IEEE/ACM 31st …, 2023 - ieeexplore.ieee.org
The number of devices connected to the Internet has been exploding in recent years, and
the wide range of device types poses a serious challenge for asset management and …

Joint classification of iot devices and relations in the internet with network traffic

Y Ren, H Li, M Xu, G Xiong, S Zhang… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
With the rapid growth and popularization of Internet of Things (IoT), more and more devices
are deployed in homes, enterprises, cities, etc. The existed methods to classify types and …

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 …

Distinguishing between smartphones and IoT devices via network traffic

S Hui, H Wang, D Xu, J Wu, Y Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are increasingly growing in mobile networks with the ubiquity
of various IoT services. They share the same infrastructure with smartphones while having …

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 …