School of Information Science and Technology, Dalian Maritime University, Dalian, China.
School of Information Science and Engineering, Shandong Normal University, Jinan, China.
PLoS One. 2020 Jul 15;15(7):e0236015. doi: 10.1371/journal.pone.0236015. eCollection 2020.
This paper proposes a new chaotic image encryption algorithm. Firstly, an original phased composite chaotic map is used. The comparative study shows that the map cryptographic characteristics are better than the Logistic map, and the map is used as the controller of Fisher-Yates scrambling. Secondly, with the higher complexity of the fractional-order five-dimensional cellular neural network system, it is used as a diffusion controller in the encryption process. And mix the secret key, mapping and plaintext, we can obtain the final ciphertext. Finally, the comparative experiments prove that the proposed algorithm improves the encryption efficiency, has good security performance, and can resist common attack methods.
本文提出了一种新的混沌图像加密算法。首先，使用了一种原始的分相组合混沌映射。比较研究表明，该映射的密码学特性优于 Logistic 映射，并且该映射被用作 Fisher-Yates 置乱的控制器。其次，利用分数阶五维细胞神经网络系统的更高复杂性，将其用作加密过程中的扩散控制器。并且混合密钥、映射和明文，可以得到最终的密文。最后，对比实验证明，所提出的算法提高了加密效率，具有良好的安全性能，可以抵抗常见的攻击方法。
