Synchronization of Hyperchaotic Systems Based on Intermittent Control and its Application in Secure Communication

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-03-20 DOI:10.20965/jaciii.2023.p0292
Jianbin He, W. Qiu, Jianping Cai
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引用次数: 3

Abstract

The synchronization of master-slave hyperchaotic systems is investigated by intermittent control and proved by the Lyapunov stable theory. Meanwhile, a new secure communication scheme is designed for the continuous and digital information. The encrypted information is transmitted to receiver through the intermittent controller, which reduces the disturbance to the synchronization of master-slave systems and improves the security and reliability of secure communication. Before transmitting to the receiver, the continuous signal is firstly modulated and masked by the chaotic signals. Furthermore, an encryption algorithm for the digital information of color image is proposed by the pseudo-random sequences of Chen hyperchaotic system, and then the encrypted image is modulated and masked by the variables of the master system. The original image can be decrypted successfully at the receiving end after the slave system is synchronized with the master system. Finally, the feasibility and effectiveness of this scheme are verified by simulation experiments. In addition, the security analysis of the image encryption algorithm is also discussed, such as key sensitivity, correlation coefficient, NIST test, and return map.
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基于间歇控制的超混沌系统同步及其在保密通信中的应用
采用间歇控制方法研究了主从超混沌系统的同步问题,并用李雅普诺夫稳定理论进行了证明。同时,针对连续信息和数字信息,设计了一种新的安全通信方案。加密后的信息通过间歇控制器传输到接收端,减少了对主从系统同步的干扰,提高了保密通信的安全性和可靠性。在发送到接收机之前,连续信号首先被混沌信号调制和屏蔽。在此基础上,提出了一种利用陈超混沌系统的伪随机序列对彩色图像数字信息进行加密的算法,并利用主系统的变量对加密后的图像进行调制和掩码。待从系统与主系统同步后,接收端才能成功解密原始镜像。最后,通过仿真实验验证了该方案的可行性和有效性。此外,还讨论了图像加密算法的安全性分析,如密钥灵敏度、相关系数、NIST测试、返回映射等。
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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