Drone Detection and Classification Using Physical-Layer Protocol Statistical Fingerprint.

We propose a novel approach for drone detection and classification based on RF communication link analysis. Our approach analyses large signal record including several packets and can be decomposed of two successive steps: signal detection and drone classification. On one hand, the signal detection step is based on Power Spectral Entropy (PSE), a measure of the energy distribution uniformity in the frequency domain.

RF eigenfingerprints, an Efficient RF Fingerprinting Method in IoT Context.

In IoT networks, authentication of nodes is primordial and RF fingerprinting is one of the candidates as a non-cryptographic method. RF fingerprinting is a physical-layer security method consisting of authenticated wireless devices using their components' impairments. In this paper, we propose the RF eigenfingerprints method, inspired by face recognition works called eigenfaces.