Optimal Rate-Limited Secret Key Generation From Gaussian Sources Using Lattices
Résumé
We propose a lattice-based scheme for secret key generation from Gaussian sources in the presence of an eavesdropper, and show that it achieves the strong secret key capacity in the case of degraded source models, as well as the optimal secret key / public communication rate trade-off. The key ingredients of our scheme are the use of the modulo lattice operation to extract the channel intrinsic randomness, based on the notion of flatness factor, together with a randomized lattice quantization technique to quantize the continuous source. Compared to previous works, we introduce two new notions of flatness factor based on L1 distance and KL divergence, respectively, which might be of independent interest. We prove the existence of secrecy-good lattices under L1 distance and KL divergence, whose L1 and KL flatness factors vanish for volume-to- noise ratios up to 2πe . This improves upon the volume-to- noise ratio threshold 2π of the L∞ flatness factor.
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