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机构地区:[1]南昌大学计算机科学与技术系,江西南昌330031
出 处:《南昌大学学报(工科版)》2017年第2期169-174,共6页Journal of Nanchang University(Engineering & Technology)
基 金:江西省科技支撑资助项目(20122BBE500049)
摘 要:通过研究分析已有的图像加密算法,结合超混沌系统和灰度图像的特性,提出一种基于超混沌序列和位平面置乱的图像加密方法。首先,利用本算法将明文灰度图像位平面分解;然后,采用Arnold置乱对高4位平面进行像素位置置乱;接着,将与明文相关的初值迭代产生的Chen超混沌序列对各平面进行像素值改变置乱;最后,将各置乱位平面整合成密文图像。实验结果和数据分析表明:加密图像灰度呈均匀分布,密钥空间大并高度敏感,可有效抵御统计、差分等攻击,具有较好的抗切割攻击能力,算法高效安全。An image encryption algorithm based on hyperchaotic sequences and bit-plane decomposition was proposed by analyzing the existing image encryption algorithms and combining the characteristics of hyperchaotic systems and gray-scale images.Firstly,this algorithm decomposed the image into a binary plane;secondly,the arnold scrambling was used to scramble the pixel positions of the upper 4-bit plane;and thirdly,the Chen hyperchaotic sequences generated by the initial iterations associated with the plaintext were used to scramble the pixel values for each plane.Finally,the scrambled planes were integrated into ciphertext images.Experimental results and data analysis showed that the gray image of the encrypted image was evenly distributed,the key space was large and highly sensitive,and it can effectively resist statistical and differential attacks,and has good anti-cutting attack ability.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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