A survey of physical-layer authentication in wireless communications
N Xie, Z Li, H Tan - IEEE Communications Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Authentication is an important issue in wireless communications because the open nature of
the wireless medium provides more security vulnerabilities. Recently, Physical-Layer …
the wireless medium provides more security vulnerabilities. Recently, Physical-Layer …
Intelligent omni-surfaces: Simultaneous refraction and reflection for full-dimensional wireless communications
The development of metasurfaces has unlocked various use cases in wireless
communication networks to improve performance by manipulating the propagation …
communication networks to improve performance by manipulating the propagation …
An efficient specific emitter identification method based on complex-valued neural networks and network compression
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …
emitter and enhance the security of various wireless communication systems. SEI is …
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
A review of radio frequency fingerprinting techniques
N Soltanieh, Y Norouzi, Y Yang… - IEEE Journal of Radio …, 2020 - ieeexplore.ieee.org
Radio frequency (RF) fingerprinting techniques have been used as an extra security layer
for wireless devices. Unique fingerprints are used to identify wireless devices in order to …
for wireless devices. Unique fingerprints are used to identify wireless devices in order to …
Machine learning for the detection and identification of Internet of Things devices: A survey
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 …
variety of emerging services and applications. However, the presence of rogue IoT devices …
Deep learning convolutional neural networks for radio identification
Advances in software defined radio (SDR) technology allow unprecedented control on the
entire processing chain, allowing modification of each functional block as well as sampling …
entire processing chain, allowing modification of each functional block as well as sampling …
Radio frequency fingerprint identification for LoRa using deep learning
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
Deep learning based RF fingerprint identification using differential constellation trace figure
This paper proposes a novel deep learning-based radio frequency fingerprint (RFF)
identification method for internet of things (IoT) terminal authentications. Differential …
identification method for internet of things (IoT) terminal authentications. Differential …
Indoor positioning systems based on visible light communication: State of the art
Advances in visible light communication (VLC) technology and the ubiquity of illumination
facility have led to a growing interest in VLC-based indoor positioning. Numerous …
facility have led to a growing interest in VLC-based indoor positioning. Numerous …