Modular‐based secret image sharing in Internet of Things : A global progressive‐enabled approach
Modular‐based secret image sharing in Internet of Things : A global progressive‐enabled approach
复制标题
物联网中基于模块化的秘密图像共享：一种全球渐进式方法
DOI：
10.1002/cpe.6000
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Yang Bo
中科院分区：
文献类型：
--
作者：
Zhang Lina;Zheng Xiangqin;Yu Keping;Li Wenjuan;Wang Tao;Dang Xuan;Yang Bo
由于信息技术的不断发展和进步，互联网也进入了以物联网（IoT）为基础的大数据时代。如何保护物联网中存储和传输的数据的安全性是亟待解决的问题之一。本文重点讨论物联网中图像数据存储和传输的安全问题。秘密图像共享（SIS）是一种图像保护机制，它将一幅图像分成若干份，分别分配给不同的参与者进行保存。只有当共享数量达到阈值时，才能恢复原始图像。从图像重建模式的角度来看，SIS方案有两种类型：一种是传统的（k，n）阈值方案，它提供了一种全有或全无的重建模式，另一种是渐进方案，它可以逐渐恢复原始图像。本文提出了一种基于模运算的（k，k2）渐进秘密图像共享方法，该方法可以将存储在物联网中的重要图像分成多个部分，然后传输给不同地点的人。它以整体为单位，以渐进式的恢复形式。当份额达到阈值时，可以看到原始图像的某些块。随着份额的增加，图像将更加清晰。当所有份额共同参与重建时，可以无损地恢复原始图像。与其他方案相比，该方案具有相同的平滑性、阴影大小和安全性，并且是细粒度渐进的.
Due to the continuous development and progress of information technology, the Internet has also entered the era of big data based on the Internet of Things (IoT). How to protect the security of data stored and transmitted in the IoT is one of the urgent problems to be solved. This article focuses on the security issues of storage and transmission of image data in the IoT. Secret image sharing (SIS) is a kind of image protection mechanism by dividing an image intonshares, and different shares are given to different participants separately for preservation. Only when the number of shares reaches the threshold can the original image be recovered. From the perspective of image reconstruction mode, there are two types of SIS schemes: one is the traditional (k,n) threshold scheme, which provides an all‐or‐nothing reconstruction mode, the other is the progressive scheme, which can gradually restore the original image. In this article, a novel (k,k2) progressive secret image sharing based on modular operations is proposed, this method can divide the important images stored in the IoT into many parts and then transmit them to people in different places. It takes the whole as a unit in terms of the progressive recovery form. When the share reaches the threshold, certain blocks of the original image can be seen. As the share increases, the image will be clearer. When all shares participate in the reconstruction together, the original image can be restored without loss. Compared with other schemes, our scheme has the same smoothness, shadow size and satisfies the security, and is fine‐grained progressive.