Image encryption is an effective way of protecting multimedia data; it is done by transferring multimedia data into an undetectable format within the network context. In this paper, a new Chaotic Evolutionary Biomolecules Model (CEBM) based on the concepts of biological molecules (DNA and RNA) is presented for image encryption. The proposed model consists of four phases. In the first phase, a secret 256-bit key using the SHA-256 algorithm is assumed for the initial value of the non-coupled map lattice function. In the second phase, the Chaotic Rate operator is used for permutation. In the third phase, DNA XOR operators and RNA codons complement operator based on chaos are used for Diffusion. In the final phase, the steps taken 1, 2, and 3 are repeated by the number of the population of the early countries of Imperialist Competition Algorithm. The population is then optimized using imperialist competition algorithm operators. The results show the superiority of the proposed model over other models. In addition, the proposed model is highly resistant to common attacks and has an entropy value average of 7.99944.

图像加密是保护多媒体数据的有效方法。通过将多媒体数据转换为网络上下文中无法检测的格式来完成此操作。在本文中，提出了一种基于生物分子（DNA和RNA）概念的新的混沌进化生物分子模型（CEBM）来进行图像加密。所提出的模型包括四个阶段。在第一阶段，假设使用SHA-256算法的256位秘密密钥作为非耦合映射晶格函数的初始值。在第二阶段，使用“混沌速率”运算符进行置换。在第三阶段，将基于混沌的DNA XOR运算符和RNA密码子补码运算符用于扩散。在最后阶段，按照帝国主义竞争算法早期国家的人口数量重复执行步骤1、2和3。然后使用帝国主义竞争算法算子对种群进行优化。结果表明，提出的模型优于其他模型。另外，所提出的模型对普通攻击具有很高的抵抗力，其熵值平均值为7.99944。