no code implementations • 31 Dec 2021 • Samer Hanna, Samurdhi Karunaratne, Danijela Cabric
RF fingerprinting leverages circuit-level variability of transmitters to identify them using signals they send.
no code implementations • 4 Nov 2021 • Samurdhi Karunaratne, Samer Hanna, Danijela Cabric
These systems have been shown to offer excellent outlier detection accuracies when trained and tested on a fixed authorized transmitter set.
no code implementations • 30 Aug 2021 • Samurdhi Karunaratne, Samer Hanna, Danijela Cabric
So far, efforts at open set classification have largely relied on the utilization of signal samples captured from a known set of unauthorized transmitters to aid the classifier learn unauthorized transmitter fingerprints.
no code implementations • 3 May 2020 • Samer Hanna, Samurdhi Karunaratne, Danijela Cabric
Due to imperfections in transmitters' hardware, wireless signals can be used to verify their identity in an authorization system.
no code implementations • 18 Feb 2020 • Samer Hanna, Samurdhi Karunaratne, Danijela Cabric
In this paper, we propose a deep learning approach for transmitter authorization based on open set recognition.