432 ISEC

"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…