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Relations Between Secret Sharing and Secret Image Sharing

机译:秘密共享与秘密图像共享之间的关系

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摘要

Secret sharing (SS) for (k,n) threshold generates secret data into n shadows, where any k or more shadows can reconstruct the secret while any k - 1 or less shadows reconstruct nothing of the secret. SS is useful for cloud computing security, block chain security and so on. Since nowadays image covers more information, secret image sharing (SIS) is studied widely. Although most SIS principles are derived from SS and SIS belongs to SS, SIS has its specific features comparing to SS due to image characteristics, such as, pixel value range, region relationship and so on. In this paper, first we discuss the relations between SIS and SS, where differences between them are mainly considered. Then, some typical sharing principles are employed to further indicate the differences and analyze the possible ways to deal with the issues when directly applying SS to SIS. Finally, we perform experiments to verify our analyses.
机译:(k,n)阈值的秘密共享(ss)生成秘密数据,进入n阴影,其中任何k或更多阴影都可以重建秘密,而任何k - 1或更少的阴影都会重建一个秘密。 SS对云计算安全性,块链安全等有用。由于目今的图像涵盖更多信息,因此广泛研究了秘密图像共享(SIS)。虽然大多数SIS原理来自SS和SIS属于SS,但是SIS具有与SS相比的特定功能,因为图像特征,例如像素值范围,区域关系等。在本文中,首先讨论了SIS和SS之间的关系,其中它们之间的差异主要被考虑。然后,采用一些典型的共享原则来进一步指出差异并分析直接向SIS应用SS时处理问题的可能方法。最后,我们执行实验以验证我们的分析。

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