To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Radio frequency fingerprint (RFF) identification is a promising technique for identifying
Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF …

Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …

Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

Specific emitter identification (SEI) is a technology that extracts subtle features from signals
sent by emitters to identify different individuals. It can effectively improve the security of the …

Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …

The following paper models a secure full duplex (FD) integrated sensing and
communication (ISAC) scenario, where malicious eavesdroppers aim at intercepting the …

The automatic identification system (AIS) is the automatic tracking system for automatic traffic
control and collision avoidance services, which plays an important role in maritime traffic …

Discovering genes with similar functions across diverse biomedical contexts poses a
significant challenge in gene representation learning due to data heterogeneity. In this …