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) …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

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 …

An efficient specific emitter identification method based on complex-valued neural networks and network compression

Y Wang, G Gui, H Gacanin, T Ohtsuki… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …

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 …

Random shifting intelligent reflecting surface for OTP encrypted data transmission

Z Ji, PL Yeoh, G Chen, C Pan, Y Zhang… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
In this letter, we propose a novel encrypted data transmission scheme using an intelligent
reflecting surface (IRS) to generate secret keys in wireless communication networks. We …

Deep-learning-based physical-layer secret key generation for FDD systems

X Zhang, G Li, J Zhang, A Hu, Z Hou… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Physical-layer key generation (PKG) establishes cryptographic keys from highly correlated
measurements of wireless channels, which relies on reciprocal channel characteristics …

CPS attacks mitigation approaches on power electronic systems with security challenges for smart grid applications: A review

M Amin, FFM El-Sousy, GAA Aziz, K Gaber… - Ieee …, 2021 - ieeexplore.ieee.org
This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities,
mitigation approaches on the power electronics and the security challenges for the smart …

A lightweight secure and resilient transmission scheme for the Internet of Things in the presence of a hostile jammer

M Letafati, A Kuhestani, KK Wong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In this article, we propose a lightweight security scheme for ensuring both information
confidentiality and transmission resiliency in the Internet-of-Things (IoT) communication. A …

Reconfigurable intelligent surface assisted secret key generation in quasi-static environments

T Lu, L Chen, J Zhang, K Cao… - IEEE Communications …, 2021 - ieeexplore.ieee.org
We propose a key generation protocol with the aid of a reconfigurable intelligent surface
(RIS) to boost secret key rate (SKR) in quasi-static environments. Considering a passive …