Z-iot: Passive device-class fingerprinting of zigbee and z-wave iot devices

L Babun, H Aksu, L Ryan, K Akkaya… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In addition to traditional networking devices (eg, gateways, firewalls), current corporate and
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …

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 …

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 …

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 …

Your smart home can't keep a secret: Towards automated fingerprinting of iot traffic

S Dong, Z Li, D Tang, J Chen, M Sun… - Proceedings of the 15th …, 2020 - dl.acm.org
The IoT (Internet of Things) technology has been widely adopted in recent years and has
profoundly changed the people's daily lives. However, in the meantime, such a fast-growing …

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 …

IoT device identification using directional packet length sequences and 1D-CNN

X Liu, Y Han, Y Du - Sensors, 2022 - mdpi.com
With the large-scale application of the Internet of Things (IoT), security issues have become
increasingly prominent. Device identification is an effective way to secure IoT environment …

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 …

Pinpointing hidden IoT devices via spatial-temporal traffic fingerprinting

X Ma, J Qu, J Li, JCS Lui, Z Li… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
With the popularization of Internet of Things (IoT) devices in smart home and industry fields,
a huge number of IoT devices are connected to the Internet. However, what devices are …

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 …