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arXiv · 2110.15415

On the Use of CSI for the Generation of RF Fingerprints and Secret Keys

Muralikrishnan Srinivasan·Sotiris Skaperas·Arsenia Chorti
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Abstract

This paper presents a systematic approach to use channel state information for authentication and secret key distillation for physical layer security (PLS). We use popular machine learning (ML) methods and signal processing-based approaches to disentangle the large scale fading and be used as a source of uniqueness, from the small scale fading, to be treated as a source of shared entropy secret key generation (SKG). The ML-based approaches are completely unsupervised and hence avoid exhaustive measurement campaigns. We also propose using the Hilbert Schmidt independence criterion (HSIC); our simulation results demonstrate that the extracted stochastic part of the channel state information (CSI) vectors are statistically independent.

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Muralikrishnan Srinivasan, Sotiris Skaperas, Arsenia Chorti. 2021-10-28. On the Use of CSI for the Generation of RF Fingerprints and Secret Keys. https://arxiv.org/abs/2110.15415

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