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Chaotic evolutionary-based image encryption using RNA codons and amino acid truth table
Optics & Laser Technology ( IF 5 ) Pub Date : 2020-08-12 , DOI: 10.1016/j.optlastec.2020.106465
Ali Asghar Abbasi , Mahdi Mazinani , Rahil Hosseini

With the increasing use of Internet and mass media, information security has become an important issue in the field of communication. Image encryption is one of the ways to secure information in communications. In this paper, a Chaotic Evolutionary Amino Acid Codons Model (CEAACM) is presented for image encryption. The proposed model consists of four phases. In the first phase, a hidden key is provided using the SHA-256 algorithm for the initial value of the hyper chaos function. In the second phase, the permutation and diffusion of image pixels are done using two bit level permutation and Hyper Chaos Function. In the next phase, RNA and amino acid codons are used for the diffusion operation, and in the fourth phase, the process performed in the previous phases is repeated by the initial population number of the imperialist competition algorithm. Then in the next step, the optimization is performed using the operators of the imperialist competition algorithm. The results show the superiority of the proposed model over other models. In addition, according to the high value of entropy, the proposed model is highly resistant to common attacks.



中文翻译:

RNA密码子和氨基酸真值表的基于混沌进化的图像加密

随着因特网和大众媒体的日益使用,信息安全已成为通信领域中的重要问题。图像加密是确保通信中信息安全的方法之一。本文提出了一种用于图像加密的混沌进化氨基酸密码子模型(CEAACM)。提议的模型包括四个阶段。在第一阶段,使用SHA-256算法为超混沌函数的初始值提供隐藏密钥。在第二阶段,使用两个位级排列和超混沌函数完成图像像素的排列和扩散。在下一阶段,将RNA和氨基酸密码子用于扩散操作,而在第四阶段,以帝国主义竞争算法的初始种群数量重复在先前阶段中执行的过程。然后,在下一步中,使用帝国主义竞争算法的运算符执行优化。结果表明,所提出的模型优于其他模型。另外,根据熵的高值,所提出的模型对常见攻击具有很高的抵抗力。

更新日期:2020-08-12
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