2016 IEEE International Symposium on Information Theory (ISIT) 2016
DOI: 10.1109/isit.2016.7541866
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Almost universal codes for fading wiretap channels

Abstract: We consider a fading wiretap channel model where the transmitter has only statistical channel state information, and the legitimate receiver and eavesdropper have perfect channel state information. We propose a sequence of non-random lattice codes which achieve strong secrecy and semantic security over ergodic fading channels. The construction is almost universal in the sense that it achieves the same constant gap to secrecy capacity over Gaussian and ergodic fading models

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Cited by 15 publications
(23 citation statements)
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“…In several papers [3], [4] a connection between Eve's correct decoding probability (ECDP) and the mutual information has been established. Thus, we can use Eve's correct decoding probability ECDP as a measure of how much information she can glean from z.…”
Section: B Correct Decoding Probabilitymentioning
confidence: 99%
“…In several papers [3], [4] a connection between Eve's correct decoding probability (ECDP) and the mutual information has been established. Thus, we can use Eve's correct decoding probability ECDP as a measure of how much information she can glean from z.…”
Section: B Correct Decoding Probabilitymentioning
confidence: 99%
“…We studied the design of secure lattice coset codes in a general wireless model with any fading and Gaussian noise, and focused on the mod Λ s channel as well as on Gaussian coset coding. Recalling the eavesdropper's probability bounds [5], [6] and deriving a variant of the information bounds [7], [8] we saw that both are an increasing function of the average flatness factor, i.e., the theta series of the faded eavesdroppers lattice Λ e,h averaged over channel realizations h.…”
Section: Discussionmentioning
confidence: 99%
“…We will give a variant of the information bounds [7], [8] from which it is explicit that the bounds agree (up to constants) with this upper bound on the probability that Eve correctly decodes the message. Hence, to minimize this probability, it will be necessary to minimize the upper bound on the mutual information, and vice versa.…”
Section: Information and Probability Boundsmentioning
confidence: 94%
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