新疆财经大学 机构 统计与数据科学学院,新疆,乌鲁木齐,830012
纸质出版:2020
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魏慧, 李国东, 许向亮. 基于改进的复合混沌系统的图像加密算法[J]. 微电子学与计算机, 2020, 37(4): 19-25.
WEI Hui, LI Guo-dong, XU Xiang-liang. Image encryption algorithm based on improved complex chaotic system[J]. 2020, 37(4): 19-25.
针对单一混沌系统加密不足的问题:主要提出的算法是基于改进的LCL复合混沌系统和DFT变化的图像加密算法.首先对图像DFT变换,应用高维Lorenz系统产生的混沌序列进行随机组合排列,将得到的一组索引序列结合改进的Cat系统对明文图像进行置乱;其次,采用超Lorenz混沌系统设计得到Logistic映射的伪随机序列,将其进行异或处理得到密文图像;为了达到加密效果更优良的目的,重复以上步骤进行循环加密处理.仿真结果表明本文设计算法具有优良的加密效果,密钥空间大、明密文敏感性强、能有效抵抗统计攻击等.
Aiming at the problem of insufficient encryption of a single chaotic system
the main proposed algorithm is an image encryption algorithm based on improved LCL composite chaotic system and DFT variation. Firstly
DFT transformation of images is carried out
chaotic sequences generated by high-dimensional Lorenz system are randomly combined and arranged
and a group of obtained index sequences are combined with an improved Cat system to scramble plaintext images; Secondly
the pseudo-random sequence of Logistic map is designed by using hyper-Lorenz chaotic system
and the encrypted image is obtained by XOR processing. In order to achieve better encryption effect
repeat the above steps for cyclic encryption. The simulation results show that the algorithm designed in this paper has excellent encryption effect
large key space
strong sensitivity to plaintext
and can effectively resist statistical attacks.
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