Meng Xin, Li Jinqing, Di Xiaoqiang, Sheng Yaohui, Jiang Donghua
School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Jilin Province Key Laboratory of Network and Information Security, Changchun 130033, China.
Entropy (Basel). 2022 Jun 29;24(7):901. doi: 10.3390/e24070901.
Today, with the rapid development of the Internet, improving image security becomes more and more important. To improve image encryption efficiency, a novel region of interest (ROI) encryption algorithm based on a chaotic system was proposed. First, a new 1D eλ-cos-cot (1D-ECC) with better chaotic performance than the traditional chaotic system is proposed. Second, the chaotic system is used to generate a plaintext-relate keystream based on the label information of a medical image DICOM (Digital Imaging and Communications in Medicine) file, the medical image is segmented using an adaptive threshold, and the segmented region of interest is encrypted. The encryption process is divided into two stages: scrambling and diffusion. In the scrambling stage, helical scanning and index scrambling are combined to scramble. In the diffusion stage, two-dimensional bi-directional diffusion is adopted, that is, the image is bi-directionally diffused row by column to make image security better. The algorithm offers good encryption speed and security performance, according to simulation results and security analysis.
如今,随着互联网的快速发展,提高图像安全性变得越来越重要。为了提高图像加密效率,提出了一种基于混沌系统的新型感兴趣区域(ROI)加密算法。首先,提出了一种新的一维eλ-cos-cot(1D-ECC),其混沌性能优于传统混沌系统。其次,利用混沌系统基于医学图像DICOM(医学数字成像和通信)文件的标签信息生成与明文相关的密钥流,采用自适应阈值对医学图像进行分割,并对分割出的感兴趣区域进行加密。加密过程分为两个阶段:置乱和扩散。在置乱阶段,将螺旋扫描和索引置乱相结合进行置乱。在扩散阶段,采用二维双向扩散,即图像按行和列双向扩散,以提高图像安全性。根据仿真结果和安全性分析,该算法具有良好的加密速度和安全性能。