Abstract This paper studies an image encryption algorithm based on multi-objective particle swarm optimization (MOPSO), DNA encoding sequence and one-dimensional Logistic map. First, the key of this paper consists of the sub-key sequence selected by particle swarm optimization (PSO), a hash value of the plaintext image, and a shuffle mark bit. Create random DNA mask images using Logistic map and DNA encoding. Then use it and the block-shuffled plaintext DNA encoding sequence to operate to form an encryption system. In PSO, the position value of a particle represents a position of the plaintext image, the iterative PSO algorithm is based on the information entropy and correlation coefficient. Finally, obtains the best ciphertext, and returns the value of the best particle at this time. Simulation experiment and security analysis show that the correlation coefficient and entropy of ciphertext are excellent, and it can resist all kinds of typical attacks and has better encryption effect.

中文翻译：

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基于混合多目标粒子群优化和DNA序列的混沌图像加密算法

摘要 本文研究了一种基于多目标粒子群优化(MOPSO)、DNA编码序列和一维Logistic图的图像加密算法。首先，本文的密钥由粒子群优化（PSO）选择的子密钥序列、明文图像的哈希值和混洗标记位组成。使用 Logistic 地图和 DNA 编码创建随机 DNA 掩码图像。然后用它和块改组后的明文DNA编码序列进行运算，形成一个加密系统。在 PSO 中，粒子的位置值代表明文图像的位置，迭代 PSO 算法基于信息熵和相关系数。最后得到最佳密文，并返回此时最佳粒子的值。