混乱密码学被用于图象加密;然而,仅仅传统的低维的混乱系统广泛地被分析了或译解,它不显示出满足的安全和效率。解决这个问题,一个新算法在这篇文章基于跨混乱的地图被创造了。图象象素在高度维的混乱顺序控制下被爬,它被生气混乱地图产生。图象象素被密文反馈算法代替。它能联系有纯文本和罐头的要求的参数使一个纯文本字节成为影响更多的密文字节的加密。由理论分析和试验性的结果证明了,算法有更高复杂的度并且递给 SP800-22 假散乱数字标准测试,并且它有高加密速度,高安全,等等。它能广泛地在图象加密的地里被使用。
Chaotic cryptography has been applied to image encryption;however,only the traditional low-dimensional chaotic systems has been widely analyzed or deciphered,which does not show satisfied security and efficiency.To solve this problem,a new algorithm based on cross-chaos map has been created in this article.The image pixels are scrambled under control of high-dimensional chaotic sequence,which is generated by cross chaotic map.The image pixels are substituted by ciphertext feedback algorithm.It can relate encryption required parameters with plaintext and can make a plaintext byte affect more ciphertext bytes.Proved by theoretical analysis and experimental results,the algorithm has higher complex degree and has passed SP800-22 pseudo-random number standard tests,and it has high encryption speed,high security,etc.It can be widely applied in the field of image encryption.