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 …

Initially introduced almost thirty years ago for the express purpose of providing electronic
warfare systems the capabilities to detect, characterize, and identify radar emitters, Specific …

Signal recognition is one of the significant and challenging tasks in the signal processing
and communications field. It is often a common situation that there's no training data …

Due to the emergence of deep learning, signal recognition has made great strides in
performance improvement. The success of most deep learning methods relies on the …

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 one of the promising passive authentication
approaches for improving the security of the Internet of Things (IoT). However, with the …

Due to imperfections in transmitters' hardware, wireless signals can be used to verify their
identity in an authorization system. While deep learning was proposed for transmitter …

The Internet of Things (IoT) is here and has permeated every aspect of our lives. A disturbing
fact is that the majority of all IoT devices employ weak or no encryption at all. This coupled …

Recently, Radio Frequency Fingerprinting (RFF) becomes a promising technique which
augments existing multifactor authentication schemes at the device level to counter forgery …

Radio frequency fingerprinting identification (RFFI) is a promising physical layer
authentication technique based on the inherent hardware defects of transmitters, yet there …