云环境下基于双密钥的安全远程医疗医学图像水印

D. S. Chauhan, A. Adarsh, B. Kumar, Rajeev Gupta, J. Saini
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引用次数: 7

摘要

为了防止存储在云环境中的信息被非法访问,提出了一种使用双密钥的高安全性图像水印方案。该方案适用于医疗信息的安全传输或云存储。该方案分两步实现。第一步,基于密码密钥对患者信息进行随机化,然后将其嵌入到封面医学图像中。第二步是在云存储之前将水印图像隐藏成密钥图像,这样即使存储的图像被黑客攻击或泄露,黑客也无法检索到隐藏的医学图像以及嵌入的患者信息。本文提出了一种新的医学图像水印算法,根据密码密钥对信息进行随机化,然后将其嵌入到封面图像中,再将封面图像嵌入到另一幅密钥图像中。该方案旨在保护敏感信息传输和云存储免受未经授权的访问。接收端嵌入信息的提取分两步完成。首先进行非盲检测,利用密钥图像提取覆盖医学图像;第二步,通过分析二值图像的离散余弦变换(DCT)系数值提取二值图像水印。通过改变JPEG压缩质量因子和子带分解水平来分析该算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Double secret key based medical image watermarking for secure telemedicine in cloud environment
This paper presents a highly secured new image watermarking scheme using two secret keys to prevent unauthorized access of information stored in cloud environment. The proposed scheme is applied for secure medical information transmission or its cloud storage. The scheme is implemented in two steps. In first step, randomization of patient information is done based on a password secret key before embedding it into the cover medical image. Second step is to hide the watermarked image into a secret key image before cloud storage so that even if the stored image is hacked or leaked, the cover medical image along with embedded patient information cannot be retrieved by the hacker. In this paper we have proposed a novel watermarking algorithm for medical images by randomizing the information according to the secret password key and then embedding it into the cover medical image followed by embedding of cover image into another secret key image. The proposed scheme aims to protect sensitive information transfer and cloud storage from unauthorized access. Extraction of the embedded information at the receiver end is done in two steps. Firstly, non-blind detection is carried out in which cover medical image is extracted with help of secret key image. In the second step, binary image watermark is extracted by analyzing the DCT (Discrete Cosine Transform) coefficient values. Performance of the proposed algorithm is analyzed by varying the quality factor of JPEG compression and sub-band decomposition levels.
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