Radio-frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure internet of things (IoT). Many deep learning (DL) based …

Due to the computing capability and memory limitations, it is difficult to apply the traditional
deep learning (DL) models to the edge devices (EDs) for realizing lightweight automatic …

Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …

Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has
emerged as a highly significant field, garnering considerable attention from academia and …

Wi-Fi-based passive sensing is considered as one of the promising sensing techniques in
advanced wireless communication systems due to its wide applications and low deployment …

The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field.
The development of fifth-generation (5G) communication technology has accelerated the …

Existing work on modulation classification of radar signals widely employs two-stage
algorithms of time-frequency transform (TFT) and convolutional neural network (CNN). This …

Automatic modulation classification (AMC) plays an important role in intelligent wireless
communications. With the rapid development of deep learning in recent years, neural …