Biometric systems (BSs) have shown prominent results in providing secure authentication
protocols and a unique identification ecosystem for various applications. Over the years …

Machine learning approaches are becoming increasingly popular to improve the efficiency
of specific emitter identification (SEI). However, in most non-cooperative SEI scenarios …

Radio frequency (RF) fingerprinting is considered as one of the promising techniques to
enhance wireless security in the Internet of Things (IoT) applications. In this paper, a low …

Security is one of the primary concerns when designing wireless networks. Along detecting
user identity, it is also important to detect the devices at the hardware level. The trivial …

Specific emitter identification (SEI) designates the unique transmitter of a given signal, using
only external feature measurements called the RF fingerprints of the signal. SEI is often used …

Recently, the traditional way to unlock car doors has been replaced with a keyless entry
system which proves more convenient for automobile owners. When a driver with a key fob …

Radio frequency fingerprinting (RFF) is based on identification of unique features of RF
transient signals emitted by radio devices. RF transient signals of radio devices are short in …

Deep learning is a new direction of research for specific emitter identification (SEI). Radio
frequency (RF) fingerprints of the emitter signal are small and sensitive to noise. It is difficult …

Specific emitter identification (SEI) enables the classification of various unique emitters
based on received waveforms using some external feature measurements from their …

The energy‐constrained devices such as the mobile terminals and nodes of the Internet of
Things make lightweight security schemes an urgent need. The traditional identity …