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 …

A deep learning approach for classifying network connected IoT devices using communication traffic characteristics

RR Chowdhury, AC Idris, PE Abas - Journal of Network and Systems …, 2023 - Springer
Abstract The Internet of Things can be considered a technological revolution and has
successfully merged the physical world with the digital world. However, heterogeneous IoT …

Fingerprinting IIoT devices through machine learning techniques

F Zhou, H Qu, H Liu, H Liu, B Li - Journal of Signal Processing Systems, 2021 - Springer
From a security perspective, identifying Industrial Internet of Things (IIoT) devices connected
to a network has multiple applications such as penetration testing, vulnerability assessment …

Identifying SH-IoT devices from network traffic characteristics using random forest classifier

RR Chowdhury, AC Idris, PE Abas - Wireless Networks, 2024 - Springer
In the cyberspace, device identification has become one of the most important factors in
improving security of a network, containing both Internet of Things (IoT) and non-IoT devices …

Locality-sensitive iot network traffic fingerprinting for device identification

B Charyyev, MH Gunes - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Engineered systems get smarter with computing capabilities, particularly through a multitude
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …

Internet of things: Digital footprints carry a device identity

RR Chowdhury, AC Idris, PE Abas - AIP Conference Proceedings, 2023 - pubs.aip.org
The usage of technologically advanced devices has seen a boom in many domains,
including education, automation, and healthcare; with most of the services requiring Internet …

Smart recon: Network traffic fingerprinting for iot device identification

J Thom, N Thom, S Sengupta… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The ubiquity of IoT devices in both public and private networks has increased dramatically in
the last few years with billions of network connected devices appearing in every sector. In …

Optimal feature set selection for IoT device fingerprinting on edge infrastructure using machine intelligence

SS Wanode, M Anand, B Mitra - IEEE INFOCOM 2022-IEEE …, 2022 - ieeexplore.ieee.org
The widespread deployment of IoT devices globally has spurred the need for protecting
these devices from various cyber security attacks. IoT device fingerprinting is the method of …

Towards the development of a realistic multidimensional IoT profiling dataset

S Dadkhah, H Mahdikhani, PK Danso… - 2022 19th Annual …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that enables the development of low-
cost and energy-efficient IoT devices across various solutions from smart cities to healthcare …

Machine learning challenges for IOT device fingerprints identification

VA Ferman, MA Tawfeeq - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The dramatic growth of Internet of Things (IoT) devices in recent years increases the IoT
networks' vulnerabilities and introduces new challenges among machine learning (ML) …