Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy by
leveraging the unique hardware-level imperfections imposed on the received wireless …

RF fingerprinting leverages circuit-level variability of transmitters to identify them using
signals they send. Signals used for identification are impacted by a wireless channel and …

In this article, we propose a general deep learning framework for RF sensing in the IoT. We
first present the proposed framework, and then review various RF sensing techniques, deep …

Radio frequency fingerprint identification (RFFI) technology identifies the emitter by
extracting one or more unintentional features of the signal from the emitter. To solve the …

With the increasing domain and widespread use of wireless devices in recent years (mobile
phones, Internet of Things, Wi-Fi), the electromagnetic spectrum has become extremely …

WiFi has become a pervasive communication medium in connecting various devices of
WLAN and IoT. However, WiFi connections are vulnerable to the impersonation attack from …

Radio fingerprinting uniquely identifies wireless devices by leveraging tiny hardware-level
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …

Security is one of the primary concerns when designing wireless networks. Along detecting
user identity, it is also important to detect the devices at the hardware level. The trivial …

Industrial IoT-enabled critical infrastructures are susceptible to cyber attacks due to their
mission-critical deployment. To ensure security by design, radio frequency (RF)-based …

We design a network to classify individual wireless devices based on their radio frequency
(RF) fingerprints imparted on transmitted signals. The network combines a stack of dilated …