Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices
at the physical layer based on inherent hardware imperfections introduced during …

Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices
at the physical layer based on inherent hardware imperfections introduced during …

Deep learning (DL)-based RF fingerprinting (RFFP) technology has emerged as a powerful
physical-layer security mechanism, enabling device identification and authentication based …

Radio Frequency fingerprinting enables a passive receiver to recognize and authenticate a
transmitter without the need for cryptographic tools. Authentication is achieved by isolating …

The current state of the art on jamming detection relies on link-layer metrics. A few examples
are the bit-error rate (BER), the packet delivery ratio, the throughput, and the signal-to-noise …

Radio Frequency Fingerprinting (RFF) offers a unique method for identifying devices at the
physical (PHY) layer based on their RF emissions due to intrinsic hardware differences …

The constrained design, remote deployment, and sensitive data generated by Internet of
Things (IoT) devices make them susceptible to various cyberattacks. One such attack is …

Image-based Radio Frequency Fingerprinting (RFF) is a promising variant of traditional RFF
systems. As a distinctive feature, such systems convert Physical-layer signals into matrices …

LoRa technology, widely used in the Internet of Things (IoT) domain, faces challenges with
traditional cryptographic authentication methods due to power constraints and computing …

Detecting spoofing attacks to Low-Earth-Orbit (LEO) satellite systems is a cornerstone to
assessing the authenticity of the received information and guaranteeing robust service …