Integer wavelet transform-based secret image sharing using rook polynomial and hamming code with authentication

IF 8.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sara Charoghchi, Zahra Saeidi, Samaneh Mashhadi
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引用次数: 0

Abstract

As an effective way to securely transfer secret images, secret image sharing (SIS) has been a noteworthy area of research. Basically in a SIS scheme, a secret image is shared via shadows and could be reconstructed by having the required number of them. A major downside of this method is its noise-like shadows, which draw the malicious users' attention. In order to overcome this problem, SIS schemes with meaningful shadows are introduced in which the shadows are first hidden in innocent-looking cover images and then shared. In most of these schemes, the cover image cannot be recovered without distortion, which makes them useless in case of utilising critical cover images such as military or medical images. Also, embedding the secret data in Least significant bits of the cover image, in many of these schemes, makes them very fragile to steganlysis. A reversible IWT-based SIS scheme using Rook polynomial and Hamming code with authentication is proposed. In order to make the scheme robust to steganalysis, the shadow image is embedded in coefficients of Integer wavelet transform of the cover image. Using Rook polynomial makes the scheme more secure and moreover makes authentication very easy and with no need to share private key to participants. Also, utilising Hamming code lets us embed data with much less required modifications on the cover image which results in high-quality stego images.

Abstract Image

基于整数小波变换的rook多项式和带认证的汉明码秘密图像共享
作为一种安全传输秘密图像的有效方法,秘密图像共享(SIS)一直是一个值得关注的研究领域。基本上,在SIS方案中,秘密图像通过阴影共享,并且可以通过拥有所需数量的阴影来重建。这种方法的一个主要缺点是它的噪音阴影,吸引恶意用户的注意。为了克服这个问题,引入了带有有意义阴影的SIS方案,其中阴影首先隐藏在看起来无害的封面图像中,然后共享。在大多数这些方案中,封面图像无法在不失真的情况下恢复,这使得它们在使用关键封面图像(如军事或医学图像)的情况下毫无用处。此外,在许多方案中,将秘密数据嵌入封面图像的最不重要位,使它们非常容易被隐写。提出了一种基于iwt的可逆SIS方案,该方案采用Rook多项式和带认证的汉明码。为了使该方案对隐写分析具有鲁棒性,将阴影图像嵌入到覆盖图像的整数小波变换系数中。使用Rook多项式不仅提高了方案的安全性,而且使身份验证变得非常简单,无需向参与者共享私钥。此外,利用汉明码可以让我们在封面图像上嵌入数据,所需的修改要少得多,从而产生高质量的隐写图像。
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来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
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