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Triple chaotic image scrambling on RGB – a random image encryption approach

机译:RGB上的三重混沌图像加扰–随机图像加密方法

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Multimedia is ruling the digital era where data storage and transmission have gained huge importance. The refuge of such data transfer has been a chief apprehension and becomes the study in the limelight, probably, forever. The universal phenomenon is to send the desired data in disguise so that only the beneficiary can avail it. In this paper, a combination of space‐filling curve with chaos has been used for encryption process. Initially, three chaotic sequences were generated using Chua's equations followed by quantification of those sequences. Key based on Hilbert curve is used for scrambling. For introducing confusion, the image is further scrambled using row and column shifting operations using the first two chaotic sequences used with space‐filling curve. Then pixel replacement has been done by bit XOR between scrambled image and the third chaotic sequence. Finally, Gould transform is applied to enhance image authentication and tamper proofing of the encrypted image. In addition, deoxyribonucleic acid‐based complementary addition rule is integrated to make the proposed scheme robust against statistical attacks, which also provides immense parallelism to generate the final encrypted image. The proposed methodology has been implemented in MATLAB 7.1. The results are compared with the existing methods. To validate the proposed system, image metrics like correlation coefficient, number of pixels change rate, unified average changing intensity, key sensitivity, cropping attacks, and noise have been computed. Copyright ? 2015 John Wiley & Sons, Ltd. Highlights Three Chua 's equation , Hilbert space‐filling curve, and XOR are used in RGB image encryption. Unified average changing intensity, number of pixels change rate , information entropy , correlation, and histogram tests were estimated. Proposed method offers large key space to defy brute force attack , cropping attacks , strong key sensitivity, and uniform gray value distribution in RGB on image encryption.
机译:多媒体正在统治数字时代,在这个时代,数据存储和传输已经变得非常重要。这种数据传输的避难所一直是人们的主要忧虑,并且可能永远成为关注的焦点。普遍现象是变相发送所需的数据,以便只有受益人才能使用它。在本文中,空间填充曲线与混沌的组合已用于加密过程。最初,使用Chua方程生成了三个混沌序列,然后对这些序列进行了量化。基于希尔伯特曲线的密钥用于加扰。为了引入混乱,使用前两个混沌序列和空间填充曲线,使用行和列移位操作对图像进行进一步打乱。然后,通过加扰图像和第三混沌序列之间的位XOR完成像素替换。最后,应用Gould变换来增强图像认证和加密图像的篡改证明。此外,还集成了基于脱氧核糖核酸的互补加法规则,以使所提出的方案对统计攻击具有鲁棒性,同时还提供了巨大的并行性以生成最终的加密图像。所提出的方法已在MATLAB 7.1中实现。将结果与现有方法进行比较。为了验证所提出的系统,已经计算了图像度量,如相关系数,像素变化率数量,统一的平均变化强度,键灵敏度,裁剪攻击和噪声。版权? 2015 John Wiley&Sons,Ltd.重点介绍RGB图像加密中使用了三个Chua's方程,Hilbert空间填充曲线和XOR。估计了统一的平均变化强度,像素数目变化率,信息熵,相关性和直方图测试。提出的方法提供了很大的密钥空间来抵抗暴力攻击,裁剪裁剪,强密钥敏感性以及图像加密时RGB中均匀的灰度值分布。

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