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

Konferenz: WSA 2021 - 25th International ITG Workshop on Smart Antennas
10.11.2021 - 12.11.2021 in French Riviera, France

Tagungsband: ITG-Fb. 300: WSA 2021

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Srinivasan, Muralikrishnan; Skaperas, Sotiris; Chorti, Arsenia (ETIS UMR 8051 / CY Paris University, ENSEA, CNRS, France)

Inhalt:
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.