Physical layer security for authentication, confidentiality, and malicious node detection: a paradigm shift in securing IoT networks

E Illi, M Qaraqe, S Althunibat… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The pervasiveness of commercial Internet of Things (IoT) around the globe is expected to
reach significant levels with the upcoming sixth generation of mobile networks (6G) …

A systematic review on Deep Learning approaches for IoT security

L Aversano, ML Bernardi, M Cimitile, R Pecori - Computer Science Review, 2021 - Elsevier
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

Survey on 6G frontiers: Trends, applications, requirements, technologies and future research

C De Alwis, A Kalla, QV Pham, P Kumar… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

[HTML][HTML] Large-scale real-world radio signal recognition with deep learning

TU Ya, LIN Yun, ZHA Haoran, J Zhang, W Yu… - Chinese Journal of …, 2022 - Elsevier
In the past ten years, many high-quality datasets have been released to support the rapid
development of deep learning in the fields of computer vision, voice, and natural language …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Overcoming data limitations: A few-shot specific emitter identification method using self-supervised learning and adversarial augmentation

C Liu, X Fu, Y Wang, L Guo, Y Liu, Y Lin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprinting (RFF) is a
physical layer authentication method in the field of wireless network security. RFFs are …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting

A Al-Shawabka, F Restuccia, S D'Oro… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Radio fingerprinting uniquely identifies wireless devices by leveraging tiny hardware-level
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …

Radio frequency fingerprint identification for LoRa using deep learning

G Shen, J Zhang, A Marshall, L Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …