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 …

Network traffic analysis based iot device identification

RR Chowdhury, S Aneja, N Aneja, E Abas - … on Big Data and Internet of …, 2020 - dl.acm.org
Device identification is the process of identifying a device on Internet without using its
assigned network or other credentials. The sharp rise of usage in Internet of Things (IoT) …

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 …

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 fingerprint using deep learning

S Aneja, N Aneja, MS Islam - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Device Fingerprinting (DFP) is the identification of a device without using its network or other
assigned identities including IP address, Medium Access Control (MAC) address, or …

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 …

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 …

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 …

Device identification using optimized digital footprints

RR Chowdhury, AC Idris, PE Abas - arXiv preprint arXiv:2212.04354, 2022 - arxiv.org
The rapidly increasing number of internet of things (IoT) and non-IoT devices has imposed
new security challenges to network administrators. Accurate device identification in the …

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) …