摘要
针对常见的基于混沌系统构造测量矩阵用于加密的算法,只是采用简单的混沌初始值进行迭代,为了使明密文信息相关联程度更加紧密,具备抗选择明密文攻击的能力。本文提出一种利用明文信息确定zigzag初始位置,通过与原始图像像素形成关联,极大地提高了明文的敏感性。另外,采用安全哈希算法SHA-512,产生与明文相关联的哈希值,用来构造系统的初始值,通过混沌系统来构造压缩感知中的测量矩阵,极大地减少了由于需要存储测量矩阵而造成的空间资源和传输成本。在信息熵,密文敏感性和相关系数等特性方面进行可视化分析。实现结果表明,密文图像的信息熵为7.9986,更接近于8,相关系数接近于0。能够实现灰度图像的安全性加密,抵抗明密文攻击,具有一定的鲁棒性,对于灰色图像加密具有较强的实用性。
To construct a measurement matrix for encryption algorithm based on chaotic system,it only USES simple chaotic initial value to iterate,in order to make the correlation degree of the information of plain ciphertext more closely,it has the ability to resist the attack of selective plain ciphertext.This paper proposes a method to determine zigzag initial position by using plaintext information,which greatly improves the sensitivity of plaintext by forming an association with the original image pixel.In addition,SHA-512,a secure hash algorithm,is adopted to generate the hash value associated with the clear text,which is used to construct the initial value of the system.The measurement matrix in the compressed perception is constructed through the chaotic system,which greatly reduces the space resources and transmission costs caused by the need to store the measurement matrix.In the information entropy,ciphertext sensitivity and correlation coefficient and other characteristics of visual analysis.The realization results show that the information entropy of ciphertext image is 7.9986,which is closer to 8,and the correlation coefficient is close to 0.It can realize the security encryption of gray image and resist plain ciphertext attack.It has certain robustness,and has strong practicality for gray image encryption.
作者
郭媛
王充
GUO Yuan;WANG Chong(College of Computer and Control Engineering,Qiqihar University,Qiqihar 161006,China)
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2021年第2期411-419,共9页
Optics and Precision Engineering
基金
国家自然科学基金资助项目(No.61872204)
黑龙江省自然科学基金资助项目(No.F2017029)
黑龙江省省属高等学校基本科研业务费科研项目资助项目(No.135109236)
。
