Device authentication of wireless devices at the physical layer could augment security
enforcement before fully decoding packets. At the upper layers of the stack, this is …

Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Modernization and technological advancement have made smart and convenient living
environments, including smart houses and smart cities, possible, by combining the Internet …

Emerging wireless networks may suffer severe security threats due to the ubiquitous access
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …

Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …

Physical-layer security is regaining traction in the research community, due to the
performance boost introduced by deep learning classification algorithms. This is particularly …

Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …

Despite the proven capabilities of deep neural networks (DNNs) for radio frequency (RF)
fingerprinting, their security vulnerabilities have been largely overlooked. Unlike the …

The automatic identification system (AIS) is the automatic tracking system for automatic traffic
control and collision avoidance services, which plays an important role in maritime traffic …

Radio frequency fingerprint identification (RFFI) is a promising physical layer security
technique that employs the hardware-introduced features extracted from the received …