IoTHunter: IoT network traffic classification using device specific keywords

P Khandait, N Hubballi, B Mazumdar - IET Networks, 2021 - Wiley Online Library
With the proliferation of IoT devices, network management and security monitoring are
becoming a challenge. For the timely detection of IoT device status and their behaviour …

A binary classification approach for time granular traffic in SDWMN based IoT networks

R Kumar, U Venkanna, V Tiwari - … International Conference on …, 2020 - ieeexplore.ieee.org
Wireless Mesh Networks (WMNs) constitute a major part of modern wireless Internet of
Things (IoT) networks. Employing the SDN technology with WMN results in Software Defined …

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 …

Collaborative flow-identification mechanism for software-defined internet of things

N Ahmed, S Misra - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Due to the lack of unified standards in the Internet of Things (IoT), heterogeneity in terms of
protocol and packet types exist. In such a case, accurate traffic identification using port …

Identifying iot devices based on spatial and temporal features from network traffic

F Yin, L Yang, J Ma, Y Zhou, Y Wang… - Security and …, 2021 - Wiley Online Library
With the rapid growth of the Internet of Things (IoT) devices, security risks have also arisen.
The preidentification of IoT devices connected to the network can help administrators to set …

A survey of smart home iot device classification using machine learning-based network traffic analysis

H Jmila, G Blanc, MR Shahid, M Lazrag - IEEE Access, 2022 - ieeexplore.ieee.org
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …

A machine learning based framework for IoT device identification and abnormal traffic detection

O Salman, IH Elhajj, A Chehab… - Transactions on …, 2022 - Wiley Online Library
Network security is a key challenge for the deployment of Internet of Things (IoT). New
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …

IoT device identification based on network traffic characteristics

M Mainuddin, Z Duan, Y Dong… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
IoT device identification plays an important role in monitoring and improving the
performance and security of IoT devices. Compared to traditional non-IoT devices, 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 …

Capsule network assisted IoT traffic classification mechanism for smart cities

H Yao, P Gao, J Wang, P Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With rapid development of compelling application scenarios of the Internet of Things (IoT),
such as smart cities, it becomes substantially important to strengthen the management of …