Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms

P Yadav, A Feraudo, B Arief, SF Shahandashti… - Proceedings of the 2nd …, 2020 - dl.acm.org
The popularity of the Internet of Things (IoT) devices makes it increasingly important to be
able to fingerprint them, for example in order to detect if there are misbehaving or even …

Cost-aware feature selection for IoT device classification

B Chakraborty, DM Divakaran, I Nevat… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The classification of Internet-of-Things (IoT) devices into different types is of paramount
importance, from multiple perspectives, including security and privacy aspects. Recent …

DevTag: A benchmark for fingerprinting IoT devices

S Wan, Q Li, H Wang, H Li, L Sun - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Nowadays, various Internet of Things (IoT) devices, such as routers, webcams, and network
printers, have been deployed across the Internet. For security and management purposes, it …

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 …

Towards automatic fingerprinting of IoT devices in the cyberspace

K Yang, Q Li, L Sun - Computer networks, 2019 - Elsevier
Nowadays, the cyberspace consists of an increasing number of IoT devices, such as net-
printers, webcams, and routers. Illuminating the nature of online devices would provide …

Behavioral fingerprinting of Internet‐of‐Things devices

B Bezawada, I Ray, I Ray - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
Rapid advances in the Internet‐of‐Things (IoT) domain have led to the development of
several useful and interesting devices that have enhanced the quality of home living and …

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 …

DEFT: A distributed IoT fingerprinting technique

V Thangavelu, DM Divakaran, R Sairam… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Identifying IoT devices connected to a network has multiple security benefits, such as
deployment of behavior-based anomaly detectors, automated vulnerability patching of …

A survey on IoT profiling, fingerprinting, and identification

M Safi, S Dadkhah, F Shoeleh, H Mahdikhani… - ACM Transactions on …, 2022 - dl.acm.org
The proliferation of heterogeneous Internet of things (IoT) devices connected to the Internet
produces several operational and security challenges, such as monitoring, detecting, and …

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 …