Xie Zhiyu, Lin Yiting, Liu Tengyu, Wen Heping
University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
iScience. 2024 Aug 20;27(9):110768. doi: 10.1016/j.isci.2024.110768. eCollection 2024 Sep 20.
This article proposes a secure communication enhancement scheme based on face detection and chaotic partition permutation. The scheme uses edge detection technology to detect facial information, which is then used as an encryption object. The hash value of the plaintext image is extracted as the secret key to the chaotic sequence generated by the chaotic system. Then a series of encryption operations are performed on the face image to obtain the final ciphertext image. In this article, two chaotic systems are used to generate pseudo-random chaotic sequences for different encryption steps. The initial key is computed by combining the hash function of the image and external parameters. The experimental results and security analysis show that the algorithm has excellent encryption effectiveness and security performance against various typical attacks.
本文提出了一种基于人脸检测和混沌分区置换的安全通信增强方案。该方案利用边缘检测技术检测面部信息，并将其用作加密对象。提取明文图像的哈希值作为混沌系统生成的混沌序列的密钥。然后对人脸图像进行一系列加密操作，得到最终的密文图像。本文使用两个混沌系统为不同的加密步骤生成伪随机混沌序列。初始密钥通过结合图像的哈希函数和外部参数来计算。实验结果和安全性分析表明，该算法对各种典型攻击具有优异的加密有效性和安全性能。
