结合逆变换LSB、RSA和Arnold变换获得安全和不可察觉的图像隐写术

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2018-09-28 DOI:10.5614/ITBJ.ICT.RES.APPL.2018.12.2.1
Edi Jaya Kusuma, C. A. Sari, E. H. Rachmawanto, D. Setiadi
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引用次数: 42

摘要

可以使用密码学和隐写术来实现图像的安全。将这两种技术结合起来可以提高图像的安全性。通常,Arnold变换(ACM)用于通过随机化图像像素来加密图像。然而,仅应用变换算法不足以保护图像。在这项研究中,ACM与另一种加密技术RSA相结合,RSA具有使用大量数字的指数过程。当攻击者试图解密密码图像时,这可能会使他们感到困惑。此外,本文还提出将ACM与RSA相结合,然后将结果嵌入到具有反向两位LSB隐写术的封面图像中,该隐写术将封面图像的位平面中的两位替换为消息位。这种改进的隐写术技术可以提供先前方法的两倍容量。使用PSNR和熵作为参数来评估实验结果,以获得隐写图像和密码图像的质量。所提出的方法产生了57.8493dB的最高PSNR和7.9948的熵。
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A Combination of Inverted LSB, RSA, and Arnold Transformation to get Secure and Imperceptible Image Steganography
Securing images can be achieved using cryptography and steganography. Combining both techniques can improve the security of images. Usually, Arnold’s transformation (ACM) is used to encrypt an image by randomizing the image pixels. However, applying only a transformation algorithm is not secure enough to protect the image. In this study, ACM was combined with RSA, another encryption technique, which has an exponential process that uses large numbers. This can confuse attackers when they try to decrypt the cipher images. Furthermore, this paper also proposes combing ACM with RSA and subsequently embedding the result in a cover image with inverted two-bit LSB steganography, which replaces two bits in the bit plane of the cover image with message bits. This modified steganography technique can provide twice the capacity of the previous method. The experimental result was evaluated using PSNR and entropy as the parameters to obtain the quality of the stego images and the cipher images. The proposed method produced a highest PSNR of 57.8493 dB and entropy equal to 7.9948.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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