Direction-of-arrival (DOA) estimation is the preliminary stage of communication, localization,
and sensing. Hence, it is a canonical task for next-generation wireless communications …

The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …

Specific emitter identification (SEI) is a highly potential technology for physical-layer
authentication that is one of the most critical supplements for the upper-layer authentication …

硬件差异会形成辐射源的独有指纹, 并附加在无线电信号上, 利用辐射源的这一独特属性可进行
射频指纹识别. 在非合作条件下, 由于信道环境未知, 信号调制方案等先验知识匮乏 …

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 …

Malware traffic classification (MTC) is a key technology for anomaly and intrusion detection
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …

Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …

Deep learning (DL)-based specific emitter identification (SEI) technique can automatically
extract radio frequency (RF) fingerprint features in RF signals to distinguish between legal …

Specific emitter identification (SEI) is a well-established approach to providing precise target
information for civilian and military applications. For most deep learning (DL) based SEI …