基于 4D 分数阶超混沌系统、2D Henon 地图和骑士巡航算法的新型灰度图像加密技术

Saeed Ullah, Xinge Liu, Adil Waheed, Shuailei Zhang, Shan Li
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引用次数: 0

摘要

随着数据交换的日益频繁,传输信息(尤其是图像)的安全性变得至关重要。本文提出了一种新颖的算法,利用提出的分数阶(FO)4D超混沌系统、2D Henon 混沌图排列和骑士巡游算法对任意维度的灰度图像进行加密。首先,利用所提出的分数阶 4D 超混沌系统产生混沌序列,然后利用混沌序列对整个图像像素进行重新排列和洗牌,以提高图像加密的效果。为了引入额外的扩散层,还使用了 2D Henon 混沌图排列。此外,为了提高加密的鲁棒性,还采用了骑士巡游算法,即从选定的点开始,在加扰图像上执行指定的轮次。最终的图像加密算法经过了全面的测试和评估。该算法对加密密钥具有高度敏感性,并拥有更大的密钥空间,从而使其更能抵御暴力破解攻击。所提出的算法表明,相邻像素之间的近似相关性为 0。此外,加密 256×256 尺寸的灰度图像大约需要 0.4 秒,因此更适合用于加密目的。
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Novel grayscale image encryption based on 4D fractional-order hyperchaotic system, 2D Henon map and knight tour algorithm
With the increasing frequency of data exchange, the security of transmitted information, especially images, has become paramount. This paper proposes a novel algorithm for encrypting grayscale images of any dimension by using a proposed fractional-order (FO) 4D hyperchaotic system, 2D Henon chaotic map permutation, and the knight tour algorithm. Initially, chaotic sequences are generated by utilizing the proposed FO 4D hyperchaotic system, which are later employed to rearrange and shuffle the entire image pixels to bolster the efficacy of image encryption. To introduce an additional layer of diffusion, 2D Henon chaotic map permutation is used. Furthermore, the knight tour algorithm is applied by starting from a chosen point and executing specified rounds on the scrambled image to increase the encryption's robustness. The resultant image encryption algorithm undergoes thorough testing and evaluation. It exhibits high sensitivity to the encryption key and boasts a larger key space, rendering it more resistant to brute-force attacks. The proposed algorithm demonstrates an approximate correlation of 0 between adjacent pixels. Further, encryption of a grayscale image of size 256×256 takes approximately 0.4 seconds, rendering it more suitable for cryptographic purposes.
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