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Abstract：
Problems such as insufficient key space, lack of a one-time pad, and a simple encryption structure may emerge in existing encryption schemes. To solve these problems, and keep sensitive information safe, this paper proposes a plaintext-related color image encryption scheme. Firstly, a new five-dimensional hyperchaotic system is constructed in this paper, and its performance is analyzed. Secondly, this paper applies the Hopfield chaotic neural network together with the novel hyperchaotic system to propose a new encryption algorithm. The plaintext-related keys are generated by image chunking. The pseudo-random sequences iterated by the aforementioned systems are used as key streams. Therefore, the proposed pixel-level scrambling can be completed. Then the chaotic sequences are utilized to dynamically select the rules of DNA operations to complete the diffusion encryption. This paper also presents a series of security analyses of the proposed encryption scheme and compares it with other schemes to evaluate its performance. The results show that the key streams generated by the constructed hyperchaotic system and the Hopfield chaotic neural network improve the key space. The proposed encryption scheme provides a satisfying visual hiding result. Furthermore, it is resistant to a series of attacks and the problem of structural degradation caused by the simplicity of the encryption system\'s structure.
摘要：
密钥空间不足等问题，缺少一次性垫，和一个简单的加密结构可能出现在现有的加密方案。为了解决这些问题,保持敏感信息的安全，本文提出了一种与明文相关的彩色图像加密方案。首先,本文构造了一个新的五维超混沌系统,并对其性能进行了分析。其次,本文将Hopfield混沌神经网络与新的超混沌系统结合起来，提出了一种新的加密算法。明文相关密钥通过图像分块生成。由上述系统迭代的伪随机序列被用作密钥流。因此,可以完成所提出的像素级加扰。然后利用混沌序列动态选择DNA操作规则来完成扩散加密。本文还对所提出的加密方案进行了一系列安全性分析，并将其与其他方案进行了比较，以评估其性能。结果表明，所构造的超混沌系统和Hopfield混沌神经网络产生的密钥流改善了密钥空间。所提出的加密方案提供了令人满意的视觉隐藏结果。此外，它可以抵抗一系列的攻击和由加密系统结构的简单性引起的结构退化问题。
