ABSTRACT The Internet of Things (IoT) is an ecosystem comprised of multiple devices and
connections, a large number of users, and a massive amount of data. Deep learning is …

The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

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

UAVs are increasingly appearing in swarms or formations to leverage cooperative behavior,
forming flying ad hoc networks. These UAV-enabled networks can meet several complex …

The Internet of Things (IoT) provides applications and services that would otherwise not be
possible. However, the open nature of IoT makes it vulnerable to cybersecurity threats …

Radio frequency fingerprint (RFF) identification is a popular topic in the field of physical layer
security. However, machine learning based RFF identification methods require complicated …

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 …

Deep learning (DL) has been utilized pervasively in the Internet of Things (IoT). One typical
application of DL in IoT is device identification from wireless signals, namely …

Mobile devices increasingly function as wireless tracking beacons. Using the Bluetooth Low
Energy (BLE) protocol, mobile devices such as smartphones and smartwatches …

Physical-layer security is regaining traction in the research community, due to the
performance boost introduced by deep learning classification algorithms. This is particularly …