Recently, a color image encryption scheme based on the Sine-Sine chaotic system has been proposed by Wang et al. (Signal Processing 144:444–452, 2018). In their scheme, a private parameter E is defined based on global plain information in hope of resisting the chosen-plaintext attack. However, we find that the private parameter is dependent purely on average intensity of a plain image, thereby leaving an open door for cryptanalysis. In this paper, we propose a collision-based inference algorithm to effectively break Wang’s image cipher. Then, in order to enhance the security, we develop a hash-based cryptosystem under the permutation-and-diffusion architecture. We conduct experiments and perform extensive comparative studies.The qualitative and quantitative results demonstrate the effectiveness of the collision-based inference algorithm, and the superiority of the proposed image cipher especially in terms of plaintext sensitivity.

最近，Wang等人提出了一种基于正弦-正弦混沌系统的彩色图像加密方案。（信号处理144：444–452，2018年）。在他们的方案中，私有参数E是基于全局纯信息定义的，旨在抵抗选择明文攻击。但是，我们发现私有参数仅取决于纯图像的平均强度，从而为密码分析留下了门户。在本文中，我们提出了一种基于碰撞的推理算法来有效地破坏王的图像密码。然后，为了提高安全性，我们在置换和扩散架构下开发了基于哈希的密码系统。我们进行实验并进行了广泛的比较研究。定性和定量结果证明了基于碰撞的推理算法的有效性，以及所提出的图像密码的优越性，特别是在明文敏感性方面。