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一种基于新型超混沌系统和二维压缩感知的安全图像加密方案。

A Secure Image Encryption Scheme Based on a New Hyperchaotic System and 2D Compressed Sensing.

作者信息

Liu Muou, Ning Chongyang, Zhu Congxu

机构信息

College of Electronic Information and Physics, Central South University of Forestry and Technology, Changsha 410004, China.

School of Computer Science and Engineering, Central South University, Changsha 410083, China.

出版信息

Entropy (Basel). 2024 Jul 16;26(7):603. doi: 10.3390/e26070603.

Abstract

In insecure communication environments where the communication bandwidth is limited, important image data must be compressed and encrypted for transmission. However, existing image compression and encryption algorithms suffer from poor image reconstruction quality and insufficient image encryption security. To address these problems, this paper proposes an image-compression and encryption scheme based on a newly designed hyperchaotic system and two-dimensional compressed sensing (2DCS) technique. In this paper, the chaotic performance of this hyperchaotic system is verified by bifurcation diagrams, Lyapunov diagrams, approximate entropy, and permutation entropy, which have certain advantages over the traditional 2D chaotic system. The new 2D chaotic system as a pseudo-random number generator can completely pass all the test items of NIST. Meanwhile, this paper improves on the existing 2D projected gradient (2DPG) algorithm, which improves the quality of image compression and reconstruction, and can effectively reduce the transmission pressure of image data confidential communication. In addition, a new image encryption algorithm is designed for the new 2D chaotic system, and the security of the algorithm is verified by experiments such as key space size analysis and encrypted image information entropy.

摘要

在通信带宽有限的不安全通信环境中,重要的图像数据必须进行压缩和加密才能传输。然而,现有的图像压缩和加密算法存在图像重建质量差和图像加密安全性不足的问题。为了解决这些问题,本文提出了一种基于新设计的超混沌系统和二维压缩感知(2DCS)技术的图像压缩和加密方案。本文通过分岔图、李雅普诺夫图、近似熵和排列熵验证了该超混沌系统的混沌性能,与传统二维混沌系统相比具有一定优势。新的二维混沌系统作为伪随机数发生器能够完全通过美国国家标准与技术研究院(NIST)的所有测试项目。同时,本文对现有的二维投影梯度(2DPG)算法进行了改进,提高了图像压缩和重建的质量,并能有效降低图像数据保密通信的传输压力。此外,针对新的二维混沌系统设计了一种新的图像加密算法,并通过密钥空间大小分析和加密图像信息熵等实验验证了算法的安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f679/11276310/792c2b48b1b8/entropy-26-00603-g001.jpg

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