DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms

Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia. DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. In Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Mobihoc 2019, Catania, Italy, July 2-5, 2019. pages 51-60, ACM, 2019. [doi]

@inproceedings{RestucciaDABAIC19,
  title = {DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms},
  author = {Francesco Restuccia and Salvatore D'Oro and Amani Al-Shawabka and Mauro Belgiovine and Luca Angioloni and Stratis Ioannidis and Kaushik R. Chowdhury and Tommaso Melodia},
  year = {2019},
  doi = {10.1145/3323679.3326503},
  url = {https://doi.org/10.1145/3323679.3326503},
  researchr = {https://researchr.org/publication/RestucciaDABAIC19},
  cites = {0},
  citedby = {0},
  pages = {51-60},
  booktitle = {Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Mobihoc 2019, Catania, Italy, July 2-5, 2019},
  publisher = {ACM},
  isbn = {978-1-4503-6764-6},
}