Li, Guyue, Hu, Aiqun, Zhang, Junqing ORCID: 0000-0002-3502-2926, Peng, Linning, Sun, Chen and Cao, Daming
(2018)
High-Agreement Uncorrelated Secret Key Generation Based on Principal Component Analysis Preprocessing.
IEEE TRANSACTIONS ON COMMUNICATIONS, 66 (7).
pp. 3022-3034.
Text
KeyGen_PCA.pdf - Author Accepted Manuscript Download (889kB) |
Abstract
Random and high-agreement secret key generation from noisy wideband channels is challenging due to the autocorrelation inside the channel samples and compromised cross correlation between channel measurements of two keying parties. This paper studies the signal preprocessing algorithms to establish high-agreement uncorrelated secret key in the presence of channel independent eavesdroppers. We first propose a general mathematical model for various preprocessing schemes, including principal component analysis (PCA), discrete cosine transform (DCT) and wavelet transform (WT). Among preprocessing schemes, PCA is proved to achieve the optimal secret key rate. Next, PCA with common eigenvector has been found to outperform PCA with private eigenvector in terms of an overall consideration of key agreement, information leakage, and computational expense. Then, we propose a system level design of key generation, including quantization, information reconciliation, and privacy amplification. Numerical results verify that the key generation enhanced by PCA with common eigenvector can achieve secret key with high key generation rate, low key error rate, and good randomness.
Item Type: | Article |
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Uncontrolled Keywords: | Wireless communications, physical layer security, secret key generation, channel reciprocity, decorrelation, principal component analysis |
Depositing User: | Symplectic Admin |
Date Deposited: | 05 Mar 2018 15:23 |
Last Modified: | 15 Mar 2024 14:44 |
DOI: | 10.1109/TCOMM.2018.2814607 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3018651 |