An efficient essential secret sharing: Application to gray and color images

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Ramakant Kumar , Avishek Adhikari , Sahadeo Padhye , Mainejar Yadav
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引用次数: 0

Abstract

A Secret Sharing Scheme (SSS) is a cryptographic primitive used to share secrets, such that the secret can be revealed only when a specified number of shares are available. Due to varying levels of importance or hierarchy among shareholders, some shareholders may be deemed essential for secret recovery. This concept is addressed by essential secret sharing. The essential SSSs designed for sharing secret images suffer from various limitations, including different shadow image sizes for essential and non-essential shareholders, large share sizes, preprocessing requirements, the need for concatenating sub-shadows, constraints on image type, and pixel expansion. To address these issues, we propose an essential SSS based on simple linear algebra. This scheme is both perfect and ideal. We then leverage this scheme to develop a perfect and ideal essential secret image sharing (SIS) scheme that accommodates essential participants. We further modify the scheme to reduce the share sizes by a factor of k, which makes it efficient. It is applicable for gray as well as color images. Our approach relies on simple operations like matrix addition, multiplication, and inversion. Our scheme supports color images and offers lossless recovery. It overcomes the limitations present in existing SIS schemes. We have discussed experimental results for the gray and color images. Furthermore, all schemes presented in this article are quantum secure.
一个有效的基本秘密共享:应用于灰色和彩色图像
秘密共享方案(Secret Sharing Scheme, SSS)是一种用于共享秘密的加密原语,因此只有在指定数量的共享可用时才能显示秘密。由于股东之间的重要性或等级不同,有些股东可能被认为是秘密追回的必要股东。这个概念是通过基本秘密共享来解决的。为共享秘密图像而设计的关键SSSs受到各种限制,包括关键股东和非关键股东的阴影图像大小不同、股份大小大、预处理要求、拼接子阴影的需要、图像类型的约束以及像素扩展。为了解决这些问题,我们提出了一个基于简单线性代数的基本SSS。这个方案既完美又理想。然后,我们利用该方案开发了一个完美和理想的基本秘密图像共享(SIS)方案,以容纳基本参与者。我们进一步修改了该方案,将份额大小减少了k个因子,使其变得有效。它既适用于灰度图像,也适用于彩色图像。我们的方法依赖于简单的运算,如矩阵加法、乘法和反演。我们的方案支持彩色图像,并提供无损恢复。它克服了现有SIS计划中存在的局限性。讨论了灰度图像和彩色图像的实验结果。此外,本文提出的所有方案都是量子安全的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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