物联网应用中基于插值的可逆数据隐藏方案

Riya Punia, Aruna Malik, Samayveer Singh
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引用次数: 0

摘要

物联网(IoT)的指数级增长导致对安全高效的数据传输方法的需求增加。然而,在数据隐藏方法中存在图像质量和隐藏能力的折衷。因此,在保持图像质量的同时,最大限度地存储在图像介质中的数据量是一项艰巨的挑战。因此,为了在图像质量和嵌入容量之间取得平衡,为物联网应用开发了一种新的基于插值的可修正数据隐藏(RDH)方法。所提出的插值方法取相邻两个原始像素值和第三个原始像素值乘积的根值的平均值。对于中心像素,它取两个插值像素的平均值。通过这样做,考虑了大部分原始像素,并且计算出的插值像素的平均值得到了很大的增强。此外,数据隐藏分两个阶段进行。首先对秘密消息进行RSA,然后根据强度范围组进行嵌入。实验结果表明,与基线方法相比,该方法的嵌入能力提高了17.58%,测试图像的PSNR值提高了7.80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An interpolation-based reversible data hiding scheme for internet of things applications
Abstract The exponential growth of the Internet of Things (IoT) has led to an increased demand for secure and efficient data transmission methods. However, there is a tradeoff in the image quality and hiding capacity in the data hiding methods. Therefore, the maximum amount of data that could be stored in the image media is a difficult challenge while maintaining the image quality. Thus, to make the balance between the quality of the images and the embedding capacity, a novel interpolation-based revisable data hiding (RDH) approach is developed for IoT applications. The proposed interpolation technique takes the average of the root value for the product of two neighboring original pixel values and the third original pixel value. And for the central pixel, it takes an average of two interpolated pixels. By doing so, most of the original pixels are considered and the calculated interpolated pixel is much enhanced as its average value. Furthermore, the data hiding is performed in two stages. In the first stage, RSA is performed on the secret message, and then embedding is done based on which intensity range group. The experimental results indicate that the proposed technique enhanced the embedding capacity by 17.58% and produced 7.80% higher PSNR values for the test images as compared to the baseline methods.
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来源期刊
Discover Internet of Things
Discover Internet of Things Internet of Things (IoT)-
CiteScore
7.50
自引率
0.00%
发文量
6
审稿时长
28 days
期刊介绍: Discover Internet of Things is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open access, community-focussed journal publishing research from across all fields relevant to the Internet of Things (IoT), providing cutting-edge and state-of-art research findings to researchers, academicians, students, and engineers. Discover Internet of Things is a broad, open access journal publishing research from across all fields relevant to IoT. Discover Internet of Things covers concepts at the component, hardware, and system level as well as programming, operating systems, software, applications and other technology-oriented research topics. The journal is uniquely interdisciplinary because its scope spans several research communities, ranging from computer systems to communication, optimisation, big data analytics, and application. It is also intended that articles published in Discover Internet of Things may help to support and accelerate Sustainable Development Goal 9: ‘Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation’. Discover Internet of Things welcomes all observational, experimental, theoretical, analytical, mathematical modelling, data-driven, and applied approaches that advance the study of all aspects of IoT research.
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