Physical-layer device identification aims at identifying wireless devices during radio
communication by exploiting unique characteristics of their analog (radio) circuitry. This work …

In recent years, several research studies have investigated the identification of electronic
devices through their physical components and properties, both from a theoretical point of …

RF fingerprinting is a key security mechanism that allows device identification by learning
unchanging, hardware-based characteristics of the transmitter. In this article, we …

Radio frequency (RF) fingerprint is the inherent hardware characteristics and has been
employed to classify and identify wireless devices in many Internet of Things applications …

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 …

Inkjet printing on flexible paper and additive manufacturing technologies (AMT) are
introduced for the sustainable ultra-low-cost fabrication of flexible radio frequency …

Radio frequency fingerprinting enhances security and privacy of wireless networks and
communications by learning and extracting unique characteristics embedded in transmitted …

This article has proposed detection and physical-layer security provision for printed sensory
tag systems for Internet of Things (IoT) applications. The printed sensory tags can be a very …

Radio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the
unique radio transmitter at the physical level, using only external feature measurements to …

This paper addresses the problem of authentication and identification of wireless devices
using their physical properties derived from their Radio Frequency (RF) emissions. This …