In this paper, we propose a hyperchaotic image encryption system based on particle swarm optimization algorithm (PSO) and cellular automata (CA). Firstly, to improve the ability to resist plaintext attacks, the initial conditions of the hyperchaotic system are generated by the hash function value which is closely related to the plaintext image to be encrypted. In addition, the fitness of PSO is the correlation coefficient between adjacent pixels of the image. Moreover, On the basis of hyperchaotic system, cellular automata technology is adopted, which can enhance the randomness of population distribution and increase the complexity and diversity of the population so that the security of the encryption system can be improved and avoid falling into local optimum. The simulation results and security analysis of the proposed encryption system demonstrate that the hyperchaotic image encryption system has high resistance against plaintext attack and statistical attack.

中文翻译：

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基于粒子群算法和细胞自动机的新型超混沌图像加密系统

本文提出了一种基于粒子群优化算法（PSO）和元胞自动机（CA）的超混沌图像加密系统。首先，为了提高抵抗明文攻击的能力，通过与要加密的明文图像密切相关的哈希函数值来生成超混沌系统的初始条件。另外，PSO的适合度是图像的相邻像素之间的相关系数。此外，在超混沌系统的基础上，采用了细胞自动机技术，可以提高种群分布的随机性，增加种群的复杂性和多样性，从而可以提高加密系统的安全性，避免陷入局部最优。