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Polynomial-based extended secret image sharing scheme with reversible and unexpanded covers

机译:具有可逆和未扩展覆盖范围的基于多项式的扩展秘密图像共享方案

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摘要

In comparison with traditional secret image sharing (SIS), extended secret image sharing (ESIS) can encrypt the secret image into several meaningful shadow images rather than noise-like shares, which both decrease enemies' suspects and make them more manageable for participants. However, a majority of current ESISs are based on a combination between SIS and steganography, which result in the limited performance such as the small capacity of secret information and the large cost for decryption. In this paper, we propose a (k, n) threshold extended polynomial-based ESIS, namely EPSIS, completely based on Shamir's classic PSIS without the help of steganography. Firstly, novel concepts, such as the sharing map and sharing pool, are defined to reconstruct the sharing and recovery phases of PSIS; secondly, the secret image and halftone binary cover images act on the sharing phase to generate meaningful grayscale shares from the novel view of PSIS based on the sharing map; finally, in order to achieve the same effects but without the huge sharing map, a filtering procedure for appropriate shared values is added into the sharing phase of natural PSIS, which aims to make the most significant bit of pixel in each share equal to bit in corresponding binary cover. In comparison with current ESISs, the proposed EPSIS not only has advantages in the traditional properties, such (k, n) threshold, capacity, visual quality and computational cost, but also owns two unique properties about covers, including no restrictive requirements on the selection of covers and reversible recovery of cover with the single related share. These significant properties are beneficial for searchable encryption in the area of cloud storage. Furthermore, the security condition of the proposed EPSIS is discussed in detail, and then simulations are provided to verify the security and effectiveness.
机译:与传统的秘密图像共享(SIS)相比,扩展的秘密图像共享(ESIS)可以将秘密图像加密为几个有意义的阴影图像,而不是像噪声一样的份额,这既减少了敌人的嫌疑,又使参与者更易于管理。但是,当前的大多数ESIS都是基于SIS和隐写术之间的组合,这导致性能受到限制,例如,秘密信息的容量较小且解密成本较高。在本文中,我们提出了(k,n)门限扩展的基于多项式的ESIS,即EPSIS,完全基于Shamir的经典PSIS,而无需隐写术的帮助。首先,定义了新颖的概念,例如共享图和共享池,以重构PSIS的共享和恢复阶段。其次,秘密图像和半色调二进制覆盖图像在共享阶段起作用,从基于共享映射的PSIS的新颖视角生成有意义的灰度共享。最后,为了获得相同的效果但没有巨大的共享图,在自然PSIS的共享阶段中添加了针对适当共享值的过滤程序,该程序旨在使每个共享中的最高有效像素等于相应的二进制封面。与目前的ESIS相比,拟议的EPSIS不仅在(k,n)阈值,容量,视觉质量和计算成本等传统属性上具有优势,而且还具有两个独特的封面属性,包括对选择的无限制要求单一相关份额的可收回金额和可收回金额。这些重要的属性对于云存储领域中的可搜索加密非常有用。此外,详细讨论了提出的EPSIS的安全条件,然后提供了仿真以验证安全性和有效性。

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