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

• URL: http://arxiv.org/abs/2110.15415v1
• Date: Thu, 28 Oct 2021 20:03:17 GMT
• Title: On the Use of CSI for the Generation of RF Fingerprints and Secret Keys
• Authors: Muralikrishnan Srinivasan, Sotiris Skaperas and Arsenia Chorti
• Abstract summary: 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) Our simulation results demonstrate that the extracted part of the channel state information (CSI) vectors are statistically independent.
• Score: 7.373772263534902
• License: http://creativecommons.org/licenses/by/4.0/
• 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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