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Main Author: Akcay, Kagan
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.06131
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author Akcay, Kagan
author_facet Akcay, Kagan
contents This paper investigates the relation between the second-order coding rate, where the second-order turns out to be strictly larger than $\sqrt{n}$, and the mutual information as the leaked information for a fixed error probability by using wiretap codes constructed by universal$_2$ hash functions. We first generalize the upper bound on $ε$-smooth max information in \cite{tyagi} and use it in our analysis where we adopt the method in \cite{hayashi-tan}, which uses universal hashing for compressing a source and making it secure from another correlated source, and apply it to the wiretap channel. We prove first- and second-order achievability results by assuming that the conjecture we state holds true.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06131
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Finite-Length Analysis of Wiretap Codes using Universal Hash Functions
Akcay, Kagan
Information Theory
This paper investigates the relation between the second-order coding rate, where the second-order turns out to be strictly larger than $\sqrt{n}$, and the mutual information as the leaked information for a fixed error probability by using wiretap codes constructed by universal$_2$ hash functions. We first generalize the upper bound on $ε$-smooth max information in \cite{tyagi} and use it in our analysis where we adopt the method in \cite{hayashi-tan}, which uses universal hashing for compressing a source and making it secure from another correlated source, and apply it to the wiretap channel. We prove first- and second-order achievability results by assuming that the conjecture we state holds true.
title Finite-Length Analysis of Wiretap Codes using Universal Hash Functions
topic Information Theory
url https://arxiv.org/abs/2405.06131