基于Logistic映射和超混沌的自适应图像加密算法

为了实现对图像信息的有效保护,提出了一种基于Logistic映射和超混沌系统的图像加密算法.该算法主要思想是利用Logistic映射产生的混沌序列对明文进行像素置乱并结合超混沌以及图像自身的像素分布特征,对不同的像素点进行不同方式的像素灰度变换.仿真实验和安全性分析表明,该算法具有较高的安全性,拥有较大的密钥空间且对密钥具有相对较高的敏感性,同时实现了＂一次一密＂的加密目标,可以有效地抵御穷举攻击、统计攻击以及选择明文攻击等.

Self-Adaptive Image Encryption Algorithm Based on Logistic Map and Hyper-Chaos

In order to protect the information of images effectively,a novel image encryption scheme based on Logistic map and hyper-chaos system is proposed in this paper.The encryption system employs the chaotic sequence of Logistic map combining hyper-chaos to scramble the pixel matrix and make gray-level transformation.Simulation experiment and security analysis show that the suggested algorithm is of high security,a large key space,and relatively high sensitivity to secret keys.At the same time,it achieves the aim of ’one time one key’ and can defend exhaustive attack,statistical attack and chosen-plaintext attack.