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Wichita State University

Information-theoretic secret sharing: Fundamental limits and coding schemes via deep learning

Abstract

dc:description.abstract

This dissertation aims to study and design coding schemes for information-theoretic security. We focus on two models: the secret sharing model and the Gaussian wiretap channel model. The main contribution of this dissertation is to take practical constraints into account. We consider a rate- limited public communication channel to account for bandwidth constraints and finite block length for practical applications requiring short packet length or low latency.

Degree

thesis:*
Grantor dc:publisher
Wichita State University
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rana, Vidhi
Advisor dc:contributor.advisor
  • Chou, Rémi

Rights

dc:rights
Statement dc:rights
  • © Copyright 2023 by Vidhi Rana All Rights Reserved
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Dc Identifier Other
d23043

Chain of custody

source
Harvested from
Wichita State University
Base URL
soar.wichita.edu/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
related terms
citation

Rana, Vidhi. Information-theoretic secret sharing: Fundamental limits and coding schemes via deep learning. Wichita State University, 2023. https://hdl.handle.net/10057/27420