Unimodular Lattices for the Gaussian Wiretap Channel
classification
💻 cs.IT
cs.CRmath.IT
keywords
latticesunimodularchanneldimensiongaingaussianinvariantsecrecy
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In a recent paper, the authors introduced a lattice invariant called "Secrecy Gain" which measures the confusion experienced by a passive eavesdropper on the Gaussian Wiretap Channel. We study, here, the behavior of this invariant for unimodular lattices by using tools from Modular Forms and show that, for some families of unimodular lattices, indexed by the dimension, the secrecy gain exponentially goes to infinity with the dimension.
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