With the rapid development of the information technology, the number of devices in the
Internet of Things (IoT) is increasing explosively, which makes device identification a great …

Deep learning (DL)-based radiofrequency (RF) fingerprinting identification has shown
significantly growing importance in the wireless industry including 5G, IoT and Wireless …

Improving the attack resistance of the modulation classification model is an important means
to improve the security of the physical layer of the Internet of Things (IoT). In this paper, a …

Achieving high attack success rate (ASR) with minimal perturbed distortion has consistently
been a prominent and challenging research topic in the field of adversarial examples. In this …

Deep learning (DL) based automatic modulation classification (AMC) has gained popularity
for next-generation wireless communication systems. However, these DL-based AMC …

According to recent studies, the vulnerability of state-of-the-art Neural Networks to
adversarial input samples has increased drastically. A neural network is an intermediate …

The Internet of Things (IoT) leads the era of interconnection, where numerous sensors and
devices are being introduced and interconnected. To support such an amount of data traffic …

In response to the fact that most traditional communication interference recognition
algorithms stay at a shallow learning level and cannot provide a detailed portrayal of the …