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 …

Physical-layer fingerprinting investigates how features extracted from radio signals can be
used to uniquely identify devices. This paper proposes and analyses a novel methodology …

Deep learning methods have been very successful at radio frequency fingerprinting tasks,
predicting the identity of transmitting devices with high accuracy. We study radio frequency …

Radio frequency fingerprinting (RFF) is a promising physical layer protection technique
which can be used to defend wireless networks from malicious attacks. It is based on the use …

Recently, network security has become a major challenge in communication networks. Most
wireless networks are exposed to some penetrative attacks such as signal interception …

A number of successful RF fingerprint classifiers have been demonstrated, but relatively few
results evaluate the impact of changing the receiver used for training and inference. In this …

The detection of the transient signal plays a significant role in RF fingerprinting for
transmitter devices. This paper proposes modifications on two transient signal detection …

Radio frequency fingerprinting (RFF) could provide an efficient solution to address the
security issues in wireless networks. The data acquisition system constitutes an important …

In modern wireless systems such as ZigBee, sensitive information which is produced by the
network is transmitted through different wired or wireless nodes. Providing the requisites of …

For RF fingerprinting of wireless devices, data acquisition has a critical role. Because of this,
highly sophisticated devices are used for data capturing or acquisition. In this paper, design …