首页> 中文期刊> 《计算机应用》 >基于高维超混沌系统和矩阵张量积的图像分组加密新算法

基于高维超混沌系统和矩阵张量积的图像分组加密新算法

         

摘要

Shortcomings of image encryption schemes based on chaos currently can be mainly classified into three types as follows: firstly, low dimensional chaotic sequences cause degradation of chaos; secondly, the structure of chaotic system adopted is too simple; thirdly, the algorithm is merely related to the structure of chaotic system and key. Concerning the shortcomings above, this paper presented a new image group encryption algorithm. In order to overcome the degradation of chaos, the algorithm generated pixel diffusion matrix by coupling chaotic sequences of high dimensional hyperchaos system with chaotic sequences of one dimensional chaotic mapping by means of matrix tensor product. In the process, the generation of pixel diffusion matrix was controlled by plaintext, thus the algorithm was related to plaintext, which enhanced the security of the algorithm.%目前混沌加密算法主要存在三方面的不足:1)采用低维混沌序列造成混沌退化;2)采用的混沌系统结构过于简单;3)算法只依赖于混沌系统的结构和密钥.针对这些不足,提出一种新的图像分组加密算法.为了克服混沌退化,算法借助矩阵张量积将高维超混沌系统所产生混沌序列和一维混沌序列充分耦合,产生像素扩散矩阵.在此过程中,用明文信息控制扩散矩阵生成,使算法与明文相关,提高了算法的安全强度.

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