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Nonlinear Secret Image Sharing Scheme

Over the past decade, most of secret image sharing schemes have been proposed by using Shamir's technique. It is based on a linear combination polynomial arithmetic. Although Shamir's technique based secret image sharing schemes are efficient and scalable for various environments, there ex...

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Detalles Bibliográficos
Autores principales: Shin, Sang-Ho, Lee, Gil-Je, Yoo, Kee-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130320/
https://www.ncbi.nlm.nih.gov/pubmed/25140334
http://dx.doi.org/10.1155/2014/418090
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author Shin, Sang-Ho
Lee, Gil-Je
Yoo, Kee-Young
author_facet Shin, Sang-Ho
Lee, Gil-Je
Yoo, Kee-Young
author_sort Shin, Sang-Ho
collection PubMed
description Over the past decade, most of secret image sharing schemes have been proposed by using Shamir's technique. It is based on a linear combination polynomial arithmetic. Although Shamir's technique based secret image sharing schemes are efficient and scalable for various environments, there exists a security threat such as Tompa-Woll attack. Renvall and Ding proposed a new secret sharing technique based on nonlinear combination polynomial arithmetic in order to solve this threat. It is hard to apply to the secret image sharing. In this paper, we propose a (t, n)-threshold nonlinear secret image sharing scheme with steganography concept. In order to achieve a suitable and secure secret image sharing scheme, we adapt a modified LSB embedding technique with XOR Boolean algebra operation, define a new variable m, and change a range of prime p in sharing procedure. In order to evaluate efficiency and security of proposed scheme, we use the embedding capacity and PSNR. As a result of it, average value of PSNR and embedding capacity are 44.78 (dB) and 1.74t⌈log(2)⁡m⌉ bit-per-pixel (bpp), respectively.
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spelling pubmed-41303202014-08-19 Nonlinear Secret Image Sharing Scheme Shin, Sang-Ho Lee, Gil-Je Yoo, Kee-Young ScientificWorldJournal Research Article Over the past decade, most of secret image sharing schemes have been proposed by using Shamir's technique. It is based on a linear combination polynomial arithmetic. Although Shamir's technique based secret image sharing schemes are efficient and scalable for various environments, there exists a security threat such as Tompa-Woll attack. Renvall and Ding proposed a new secret sharing technique based on nonlinear combination polynomial arithmetic in order to solve this threat. It is hard to apply to the secret image sharing. In this paper, we propose a (t, n)-threshold nonlinear secret image sharing scheme with steganography concept. In order to achieve a suitable and secure secret image sharing scheme, we adapt a modified LSB embedding technique with XOR Boolean algebra operation, define a new variable m, and change a range of prime p in sharing procedure. In order to evaluate efficiency and security of proposed scheme, we use the embedding capacity and PSNR. As a result of it, average value of PSNR and embedding capacity are 44.78 (dB) and 1.74t⌈log(2)⁡m⌉ bit-per-pixel (bpp), respectively. Hindawi Publishing Corporation 2014 2014-07-21 /pmc/articles/PMC4130320/ /pubmed/25140334 http://dx.doi.org/10.1155/2014/418090 Text en Copyright © 2014 Sang-Ho Shin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shin, Sang-Ho
Lee, Gil-Je
Yoo, Kee-Young
Nonlinear Secret Image Sharing Scheme
title Nonlinear Secret Image Sharing Scheme
title_full Nonlinear Secret Image Sharing Scheme
title_fullStr Nonlinear Secret Image Sharing Scheme
title_full_unstemmed Nonlinear Secret Image Sharing Scheme
title_short Nonlinear Secret Image Sharing Scheme
title_sort nonlinear secret image sharing scheme
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130320/
https://www.ncbi.nlm.nih.gov/pubmed/25140334
http://dx.doi.org/10.1155/2014/418090
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