IoT devices fingerprinting using deep learning

H Jafari, O Omotere, D Adesina… - MILCOM 2018-2018 …, 2018 - ieeexplore.ieee.org
Radio Frequency (RF) fingerprinting as a physical layer authentication method could be
used to distinguish legitimate wireless devices from adversarial ones. In this paper, we …

Intrusion detection for IoT devices based on RF fingerprinting using deep learning

J Bassey, D Adesina, X Li, L Qian… - … Conference on Fog …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) and 4G/5G wireless networks have added huge number of devices
and new services, where commercial-of-the-shelf (COTS) IoT devices have been deployed …

FID: Function modeling-based data-independent and channel-robust physical-layer identification

T Zheng, Z Sun, K Ren - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Trusted identification is critical to secure IoT devices. However, the limited memory and
computation power of low-end IoT devices prevent the direct usage of conventional …

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 …

Deep learning for RF fingerprinting: A massive experimental study

T Jian, BC Rendon, E Ojuba, N Soltani… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
RF fingerprinting is a key security mechanism that allows device identification by learning
unchanging, hardware-based characteristics of the transmitter. In this article, we …

Behavioral fingerprinting of iot devices

B Bezawada, M Bachani, J Peterson, H Shirazi… - Proceedings of the …, 2018 - dl.acm.org
The Internet-of-Things (IoT) has brought in new challenges in device identification--what the
device is, and authentication--is the device the one it claims to be. Traditionally, the …

Radio frequency fingerprint identification based on denoising autoencoders

J Yu, A Hu, F Zhou, Y Xing, Y Yu, G Li… - … on Wireless and …, 2019 - ieeexplore.ieee.org
Radio Frequency Fingerprinting (RFF) is one of the promising passive authentication
approaches for improving the security of the Internet of Things (IoT). However, with the …

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 …

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 deep learning

J Kotak, Y Elovici - … Conference on Computational Intelligence in Security …, 2021 - Springer
The growing use of IoT devices in organizations has increased the number of attack vectors
available to attackers due to the less secure nature of the devices. The widely adopted bring …