To ensure secure and reliable communication in wireless systems, authenticating the
identities of numerous nodes is imperative. Traditional cryptography-based authentication …

With the rapid development of emitter individual identification technology in cognitive radio
networks, electromagnetic emitter individual target identification based on deep learning has …

Automatic modulation classification (AMC) holds a significant position in physical-layer
security, offering an innovative method to enhance the security of data transmission and anti …

Specific emitter identification (SEI) uses advanced techniques to identify radio equipment by
analyzing unique characteristics in radio frequency signals. Recently, deep learning (DL) …

Radio frequency fingerprinting (RFF) serves as a distinctive hardware trait in transmitters,
forming the cornerstone of transmitter identification. While recent advancements led to …

The proliferation of the Internet of Things (IoT) has created significant opportunities for future
telecommunications. A popular category of IoT devices is oriented toward low-cost and low …

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 …

Radiofrequency signal identification (RSI) provides a critical security solution for device
authentication in the Internet of Things (IoT), characterized by extensive interconnections …

Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …

Specific emitter identification (SEI) is a non-cryptographic authentication technique to
provide an extra security layer for wireless devices, which has promising applications …