Rapid Chaotic-based Image Encryption by Combining Chaotic and Non-Chaotic Scrambling Techniques

Siva Malar. R, Uma Perumal, Umi Salma. B, Dinesh Komarasamy
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Abstract

Image encryption has been an appealing and exciting area for researchers recently. Many techniques attempt to enhance the security of images for storing in social media. Chaos theory is frequently used for image encryption due to its unpredictable nature. The classical chaotic based encryption methods are complex in structure and difficult to implement for providing high level securities. In order to solve these issues, anew method for encrypting images using Chaotic Maps (CMs) is proposed in this paper. Initially, a Logistic-Sine-Cosine (LSC)based CM is employed to generate various scrambling functions, such as Zigzag transform, Magic confusion, and Row confusion, and then these scrambling functions are used to modify pixel values to identify a linearity element. Then, these adjusted values are mixed with additional arbitrary sequence generated using the Logistic Cubic Cosine (LCC) based CM. Finally, the pre-encrypted images are combined together so that the generated randomness is dispersed uniformly throughout them. The combination of CM with scrambling functions not only improves security but also accelerates the speed of encryption.
结合混沌与非混沌置乱技术的快速混沌图像加密
近年来,图像加密一直是一个吸引和令人兴奋的研究领域。许多技术都试图提高存储在社交媒体上的图像的安全性。混沌理论由于其不可预测的特性,经常被用于图像加密。传统的基于混沌的加密方法结构复杂,难以实现,难以提供高水平的安全性。为了解决这些问题,本文提出了一种利用混沌映射对图像进行加密的新方法。首先,基于logistic - sin - cos (LSC)的CM生成各种置乱函数,如Zigzag变换、Magic混淆和Row混淆,然后使用这些置乱函数修改像素值以识别线性元素。然后,这些调整值与使用基于逻辑三次余弦(LCC)的CM生成的附加任意序列混合。最后,将预加密的图像组合在一起,使生成的随机性均匀地分散在图像中。CM与加扰功能的结合不仅提高了安全性,而且加快了加密速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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