
January 2023
Amani Al-shawabka’s PhD Proposal Review
"Channel-and-Adversary-Resilient Radio Fingerprinting through Data-Driven Approaches at Scale" Committee: Prof. Tommaso Melodia (Advisor) Prof. Kaushik Chowdhury Prof. Francesco Restuccia Abstract: Radio fingerprinting authenticates wireless devices by leveraging tiny hardware-level imperfections inevitably present in the radio circuitry. This way, devices can be directly identified at the physical layer– thus avoiding energy-expensive upper-layer cryptography that resource-limited embedded devices may not be able to afford. Recent advances have proven that employing deep learning algorithms can achieve fingerprinting accuracy levels that were impossible to…
Find Out MoreFebruary 2023
Amani Al-shawabka’s PhD Proposal Review
"Channel-and-Adversary-Resilient Radio Fingerprinting through Data-Driven Approaches at Scale" Committee: Prof. Tommaso Melodia (Advisor) Prof. Kaushik Chowdhury Prof. Francesco Restuccia Abstract: Radio fingerprinting authenticates wireless devices by leveraging tiny hardware-level imperfections inevitably present in the radio circuitry. This way, devices can be directly identified at the physical layer– thus avoiding energy-expensive upper-layer cryptography that resource-limited embedded devices may not be able to afford. Recent advances have proven that employing deep learning algorithms can achieve fingerprinting accuracy levels that were impossible to…
Find Out More