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 …

An efficient approach for device identification and traffic classification in IoT ecosystems

MRP Santos, RMC Andrade, DG Gomes… - … IEEE Symposium on …, 2018 - ieeexplore.ieee.org
Internet of Things arises as a computational paradigm that promotes the interconnection of
objects to the Internet and enables interaction, operational efficiency, and communication …

Inferring IoT device types from network behavior using unsupervised clustering

A Sivanathan, HH Gharakheili… - 2019 IEEE 44th …, 2019 - ieeexplore.ieee.org
The Internet-of-Things (IoT) is increasingly becoming a major challenge for network
administrators to monitor and manage connected devices and sensors, ranging from smart …

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 …

IoT devices recognition through network traffic analysis

MR Shahid, G Blanc, Z Zhang… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
The growing Internet of Things (IoT) market introduces new challenges for network activity
monitoring. Legacy network monitoring is not tailored to cope with the huge diversity of smart …

Iot device identification via network-flow based fingerprinting and learning

SA Hamad, WE Zhang, QZ Sheng… - 2019 18th IEEE …, 2019 - ieeexplore.ieee.org
Nowadays, increasing number of intelligent devices and smart sensors are connected by
Internet of Things (IoT) techniques, and have helped people to manage and improve their …

A feature-ranking framework for IoT device classification

BA Desai, DM Divakaran, I Nevat… - … systems & networks …, 2019 - ieeexplore.ieee.org
IoT market is rapidly changing the cyber threat landscape. The challenges to security and
privacy arise not only because IoT devices are large in number, but also because IoT …

Characterizing and classifying IoT traffic in smart cities and campuses

A Sivanathan, D Sherratt… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
Campuses and cities of the near future will be equipped with vast numbers of IoT devices.
Operators of such environments may not even be fully aware of their IoT assets, let alone …

Iot device type identification using hybrid deep learning approach for increased iot security

J Bao, B Hamdaoui, WK Wong - 2020 International Wireless …, 2020 - ieeexplore.ieee.org
IoT networks can be viewed as collections of Internet-enabled physical devices and objects,
embedded with sensor, actuator, computation, storage and communication components, that …

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 …