Shenzhen Institute of Information Technology, Shenzhen 518172, China.
Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom 32511, Egypt.
Sensors (Basel). 2022 Jan 3;22(1):334. doi: 10.3390/s22010334.
Multimedia data play an important role in our daily lives. The evolution of internet technologies means that multimedia data can easily participate amongst various users for specific purposes, in which multimedia data confidentiality and integrity have serious security issues. Chaos models play an important role in designing robust multimedia data cryptosystems. In this paper, a novel chaotic oscillator is presented. The oscillator has a particular property in which the chaotic dynamics are around pre-located manifolds. Various dynamics of the oscillator are studied. After analyzing the complex dynamics of the oscillator, it is applied to designing a new image cryptosystem, in which the results of the presented cryptosystem are tested from various viewpoints such as randomness, time encryption, correlation, plain image sensitivity, key-space, key sensitivity, histogram, entropy, resistance to classical types of attacks, and data loss analyses. The goal of the paper is proposing an applicable encryption method based on a novel chaotic oscillator with an attractor around a pre-located manifold. All the investigations confirm the reliability of using the presented cryptosystem for various IoT applications from image capture to use it.
多媒体数据在我们的日常生活中扮演着重要的角色。互联网技术的发展意味着多媒体数据可以方便地在各种用户之间用于特定目的,而多媒体数据的保密性和完整性存在严重的安全问题。混沌模型在设计鲁棒的多媒体数据加密系统中起着重要的作用。本文提出了一种新的混沌振荡器。该振荡器具有一个特殊的性质,即混沌动力学围绕预先定位的流形。研究了振荡器的各种动力学。在分析了振荡器的复杂动力学之后,将其应用于设计一种新的图像加密系统,从随机性、时间加密、相关性、原始图像灵敏度、密钥空间、密钥灵敏度、直方图、熵、抵抗经典类型的攻击以及数据丢失分析等各个角度对所提出的加密系统的结果进行了测试。本文的目的是提出一种基于具有预先定位流形的吸引子的新型混沌振荡器的实用加密方法。所有的研究都证实了该加密系统在从图像捕获到使用的各种物联网应用中使用的可靠性。