• DOI:10.1109/TIFS.2020.3033454
Corpus ID: 226289911

Comparison of Statistical and Machine Learning Techniques for Physical Layer Authentication

@article{Senigagliesi2021ComparisonOS,
  title={Comparison of Statistical and Machine Learning Techniques for Physical Layer Authentication},
  author={Linda Senigagliesi and M. Baldi and E. Gambi},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2021},
  volume={16},
  pages={1506-1521}
}

• Linda Senigagliesi, M. Baldi, E. Gambi
• Published 2021
• Computer Science, Mathematics
• IEEE Transactions on Information Forensics and Security

In this article we consider authentication at the physical layer, in which the authenticator aims at distinguishing a legitimate supplicant from an attacker on the basis of the characteristics of a set of parallel wireless channels, which are affected by time-varying fading. Moreover, the attacker’s channel has a spatial correlation with the supplicant’s one. In this setting, we assess and compare the performance achieved by different approaches under different channel conditions. We first… Expand

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