8 citations · 16 across the 4 of their papers we have counts for
4 papers
SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System
Amani Al-shawabka, Philip Pietraski, Sudhir B Pattar +2
Radio Frequency Fingerprinting through Deep Learning (RFFDL) is a data-driven IoT authentication technique that leverages the unique hardware-level manufacturing imperfections asso…
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +3
Deep learning can be used to classify waveform characteristics (e.g., modulation) with accuracy levels that are hardly attainable with traditional techniques. Recent research has d…
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +4
This paper advances the state of the art by proposing the first comprehensive analysis and experimental evaluation of adversarial learning attacks to wireless deep learning systems…
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +5
Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy. By mapping inputs onto a very large feature space, deep learning algorithms can be traine…