论文标题
由模糊模型指导的自适应图像加密方案
An Adaptive Image Encryption Scheme Guided by Fuzzy Models
论文作者
论文摘要
本文提出了使用高级加密标准（AES），混乱图，遗传操作员和模糊推理系统的新图像加密方案。在这项工作中，将纯图像用作输入，并达到了所需的安全级别。安全标准是在运行建议的加密过程后计算的。然后，一个自适应模糊系统决定是否根据已实现的结果和用户需求重复加密过程，终止或运行下一阶段。 SHA-512哈希函数用于提高钥匙灵敏度。进行了安全分析以评估拟议方案的安全性，该计划表明它具有很高的安全性，并且满足了良好有效的加密算法所需的所有标准。仿真结果和类似作品的比较表明，所提出的加密器具有伪噪声输出，并在很大程度上取决于不断变化的密钥和纯图像。
A new image encryption scheme using the advanced encryption standard (AES), a chaotic map, a genetic operator, and a fuzzy inference system is proposed in this paper. In this work, plain images were used as input, and the required security level was achieved. Security criteria were computed after running a proposed encryption process. Then an adaptive fuzzy system decided whether to repeat the encryption process, terminate it, or run the next stage based on the achieved results and user demand. The SHA-512 hash function was employed to increase key sensitivity. Security analysis was conducted to evaluate the security of the proposed scheme, which showed it had high security and all the criteria necessary for a good and efficient encryption algorithm were met. Simulation results and the comparison of similar works showed the proposed encryptor had a pseudo-noise output and was strongly dependent upon the changing key and plain image.
