基于 HLR 的可验证基本秘密图像共享方案 (VESIS-(t, s, k, n))

IF 8.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE CAAI Transactions on Intelligence Technology Pub Date : 2023-10-20 DOI:10.1049/cit2.12271
Massoud Hadian Dehkordi, Seyed Taghi Farahi, Samaneh Mashhadi
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引用次数: 0

摘要

在传统的秘密图像共享方案中,秘密图像在具有相同职位的股东之间共享。但如果股东有两个不同的职位,即重要职位和非重要职位,则有必要使用重要秘密图像共享方案。本文提出了一种基于 HLR 的可验证基本秘密图像共享方案。股东份额由两部分组成。第一部分由股东制作,可防止经销商欺诈。第二部分是利用 HLR 和第一部分份额生成的阴影图像。第一部分股票的验证首次使用了多线性和双线性映射。此外,为了验证阴影图像,还首次使用了布鲁姆过滤器。所提出的方案比同类方案更有效,而且对于第一部分共享具有正式的安全性。
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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A verifiable essential secret image sharing scheme based on HLRs (VESIS-(t, s, k, n))

In traditional secret image sharing schemes, a secret image is shared among shareholders who have the same position. But if the shareholders have two different positions, essential and non-essential, it is necessary to use essential secret image sharing schemes. In this article, a verifiable essential secret image sharing scheme based on HLRs is proposed. Shareholder's share consists of two parts. The first part is produced by the shareholders, which prevents the fraud of dealers. The second part is a shadow image that is produced by using HLRs and the first part of share. The verification of the first part of the shares is done for the first time by using multilinear and bilinear maps. Also, for verifying shadow images, Bloom Filters are used for the first time. The proposed scheme is more efficient than similar schemes, and for the first part of the shares, has formal security.

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来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
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