Radio frequency fingerprint identification (RFFI) is a promising physical layer authentication
technique that utilizes the unique impairments within the analog front-end of transmitters as …

Specific emitter identification (SEI) plays a crucial role in the security of the Industrial Internet
of Things (IIoT). In recent years, research on applying deep learning (DL) methods for signal …

This paper presents DeepCRF, a new framework that harnesses deep learning to extract
subtle micro-signals from channel state information (CSI) measurements, enabling robust …

Driven by the pursuit of enhanced performance, deep learning has recently seen rapid
developments in the scaling of network architectures and parameters. However, this …

Automatic identification system (AIS) with satellite components is exposed to increasing
external attackers due to its high degree of openness. Radio frequency fingerprint …

Radio frequency fingerprint identification (RFFI) is a promising device authentication
approach by exploiting the unique hardware impairments as device identifiers. Because the …

Radio frequency fingerprint identification (RFFI) is becoming increasingly popular,
especially in applications with constrained power, such as the Internet of Things (IoT). Due …

The global system for mobile communications (GSM) is a 2G technology accepted by almost
every communication device. However, the received GSM signals from different mobiles …

Radio frequency fingerprint (RFF) based identification technique has been proved efficient
for ensuring the validity of devices connected to network. However, it is still a tough task to …

The open nature of the wireless channel makes the drone communication vulnerable to
adverse spoofing attacks, and the radio frequency fingerprint (RFF) identification is …