Deep learning (DL)-based specific emitter identification (SEI) is a potential physical layer
authentication technique for Industrial Internet-of-Things (IIoT) Security, which detects the …

In recent years, data-driven deep learning methods have significantly improved the
performance of automatic modulation classification (AMC). However, labeling the vast …

The application of deep learning improves the processing speed and the accuracy of
automatic modulation recognition (AMR). As a result, it realizes intelligent spectrum …

Seamless Internet of Things (IoT) connections expose many vulnerabilities in wireless
networks, and IoT devices inevitably face many malicious active attacks. automatic …

Recently, significant progress has been made in deep learning, which has been widely
applied in automatic modulation classification (AMC) with remarkable outcomes. However …

Deep learning (DL) finds rich applications in the wireless domain to improve spectrum
awareness. Typically, DL models are either randomly initialized following a statistical …

As a promising non-password authentication technology, radio frequency (RF) fingerprinting
can greatly improve wireless security. Recent work has shown that RF fingerprinting based …

The existing research on deep learning for radar signal intra–pulse modulation classification
is mainly based on supervised leaning techniques, which performance mainly relies on a …

With the advancement of cognitive radio technology (CRT) in radio communication
networks, deep learning (DL) has become instrumental in enhancing spectrum efficiency …

Automatic modulation classification is an important component in many modern aeronautical
communication systems to achieve efficient spectrum usage in congested wireless …